deer-flow/backend/tests/test_agent_assembly_descriptor.py
Nan Gao 13f0a7f263
feat(extensions): let an out-of-tree extension observe what the agent did (#4863)
* feat(extensions): let an out-of-tree extension observe what the agent did

DeerFlow's extension system can contribute middleware, services and routes,
but an extension cannot answer basic questions about a run without reaching
into host internals. Several of the facts it would need are destroyed by the
operations that produce them:

  * The middleware chain injects and rewrites a lot of context — date
    reminders, recalled memory, compaction summaries, durable-context data,
    image payloads, activated skill bodies. Downstream, none of it is
    attributable: at the model-call boundary an injected HumanMessage is
    indistinguishable from the user's own, and anything wanting to tell them
    apart has to pattern-match prompt wording, which breaks on the next copy
    edit.

  * Two runs of "the same agent" are only comparable if the chain enforced the
    same limits, prompts and thresholds. Recovering that from outside means
    reading private attributes and guessing which of them change behaviour — a
    guess that rots silently as middlewares gain fields.

  * The lead-agent factory resolves a model after runtime overrides, renders a
    prompt, filters tools through authorization and composes a stack, all
    inside one synchronous call, and none of it survives: a middleware sees its
    neighbours but not the prompt, the run worker sees a graph but not what
    went into it.

  * Summarization is destructive by design. N messages leave the context and
    one summary enters it; afterwards only the summary exists, so "which
    messages became this?" is not reconstructible.

This adds seven neutral facilities so those facts are recorded where they are
still true, and releases the contract package as 0.2.0.

Message provenance
  Producers stamp `deerflow_content_kind` / `deerflow_producer_kind` onto the
  messages they inject or rewrite. Stamping is unconditional — a fact whose
  presence depends on whether an observer is installed is not a fact — and the
  keys are server-owned, so provenance cannot be forged from a request.

Middleware self-description
  Twelve middlewares declare their own behaviour-affecting parameters through
  a duck-typed `release_policy_parameters()`. Long text is hashed rather than
  embedded: a declaration is an identity, not a copy of the prompt.

Agent assembly descriptor
  `assemble_lead_agent()` returns the graph plus a descriptor whose fingerprint
  answers "did anything about this agent change between these two runs?".
  `make_lead_agent()` keeps its graph-only signature — it is the LangGraph
  Server ABI declared in langgraph.json. Tools and skills are sorted before
  hashing because their assembly order is incidental; middlewares are not,
  because stack order decides what wraps what. Host build identity is reported
  but excluded from the fingerprint, so a redeploy does not invalidate every
  agent's identity.

Context compaction observation
  Summarization emits the content hashes of the messages it is about to remove
  joined to the summary that replaced them. Content is the only identity
  available at that seam: the summary does not become a message, and what later
  projects it into a request renders it bounded and escaped rather than
  verbatim.

Neutral policy, transform and MCP-source facts
  Guardrail decisions are published to runtime context under a `__`-prefixed
  key; result-rewriting middlewares append a declared, ordered transform trail;
  MCP tools carry their credential-free logical origin.

Extension route identity
  Contributed routes are session-authenticated and cannot opt out, but
  "logged in" and "administrator" are different questions. Extensions get a
  neutral projection of the caller rather than the host's auth context, and
  `require_admin` fails closed when identity cannot be determined.

Extension-owned tables
  An extension that persists data owns its own MetaData and migration chain, so
  its tables are absent from Base.metadata and `alembic revision --autogenerate`
  proposes dropping them. Extensions declare a table prefix, which is rejected
  at registration if it would shadow a host table.

The contract package stays dependency-free and imports no host code; every new
Protocol method has a default so later additions remain additive. The loader's
pre-1.0 rule requires an exact major.minor match, so extensions written against
0.1 are now refused at startup with an actionable install hint rather than
loading into a host that implements a different surface.

uv.lock records the contract package's new version, so `uv sync --locked` still
resolves on a fresh checkout.

* fix(backend): sort gateway service imports
2026-08-23 09:57:12 +08:00

602 lines
24 KiB
Python

"""What the agent was actually assembled from, captured at build time.
Everything here is knowable only inside the factory: the resolved model after
runtime overrides, the rendered prompt, the tool list after authorization
filtering, the composed middleware stack. None of it survives to any later
observation point.
"""
from pathlib import Path
from deerflow_extension_api import AgentAssemblyDescriptor, MiddlewareDescriptor, ToolDescriptor
def test_fingerprint_is_stable_for_identical_assemblies():
def make():
return AgentAssemblyDescriptor(
namespace="lead",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_parameters={"temperature": 0},
thinking_enabled=False,
reasoning_effort=None,
base_prompt_hash="abc",
tools=(ToolDescriptor(name="bash", description_hash="d", schema_hash="s", source="builtin"),),
middlewares=(MiddlewareDescriptor(name="M", module="m", policy_parameters={"limit": 1}),),
deferred_tool_names=(),
enabled_skills=(),
effective_policies={"recursion_limit": 100},
)
assert make().fingerprint == make().fingerprint
def test_fingerprint_changes_when_a_middleware_policy_changes():
from dataclasses import replace
base = AgentAssemblyDescriptor(
namespace="lead",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_parameters={},
thinking_enabled=False,
reasoning_effort=None,
base_prompt_hash="abc",
tools=(),
middlewares=(MiddlewareDescriptor(name="M", module="m", policy_parameters={"limit": 1}),),
deferred_tool_names=(),
enabled_skills=(),
effective_policies={},
)
changed = replace(base, middlewares=(MiddlewareDescriptor(name="M", module="m", policy_parameters={"limit": 2}),))
assert base.fingerprint != changed.fingerprint
def test_fingerprint_ignores_tool_ordering():
"""Tool order is an assembly detail, not a behavioural difference."""
from dataclasses import replace
a = ToolDescriptor(name="a", description_hash="1", schema_hash="1", source="builtin")
b = ToolDescriptor(name="b", description_hash="2", schema_hash="2", source="builtin")
base = AgentAssemblyDescriptor(
namespace="lead",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_parameters={},
thinking_enabled=False,
reasoning_effort=None,
base_prompt_hash="abc",
tools=(a, b),
middlewares=(),
deferred_tool_names=(),
enabled_skills=(),
effective_policies={},
)
assert base.fingerprint == replace(base, tools=(b, a)).fingerprint
def test_middleware_order_does_affect_the_fingerprint():
"""Stack order determines what wraps what, so it is behavioural."""
from dataclasses import replace
m1 = MiddlewareDescriptor(name="A", module="m", policy_parameters={})
m2 = MiddlewareDescriptor(name="B", module="m", policy_parameters={})
base = AgentAssemblyDescriptor(
namespace="lead",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_parameters={},
thinking_enabled=False,
reasoning_effort=None,
base_prompt_hash="abc",
tools=(),
middlewares=(m1, m2),
deferred_tool_names=(),
enabled_skills=(),
effective_policies={},
)
assert base.fingerprint != replace(base, middlewares=(m2, m1)).fingerprint
class TestLeadAgentAssembly:
def test_make_lead_agent_still_returns_a_bare_graph(self):
"""langgraph.json declares this factory; its ABI must not move."""
import inspect
from deerflow.agents.lead_agent.agent import make_lead_agent
signature = inspect.signature(make_lead_agent)
assert list(signature.parameters) == ["config"]
@staticmethod
def _isolate_from_the_ambient_config(monkeypatch):
"""Assemble against a config this test owns, not the machine's.
``assemble_lead_agent`` falls back to ``get_app_config()``, so without
this the test passes only where a developer happens to have a usable
``config.yaml``. CI checks out ``config.example.yaml``, whose ``models:``
entries are all commented out, and assembly raises "No chat models are
configured" before it can produce anything to assert on.
"""
from deerflow.agents.lead_agent import agent as lead_agent_module
from deerflow.config.app_config import AppConfig
from deerflow.config.model_config import ModelConfig
from deerflow.config.sandbox_config import SandboxConfig
app_config = AppConfig(
models=[
ModelConfig(
name="assembly-test-model",
display_name="assembly-test-model",
description=None,
use="langchain_openai:ChatOpenAI",
model="assembly-test-model",
supports_thinking=False,
supports_vision=False,
)
],
sandbox=SandboxConfig(use="deerflow.sandbox.local:LocalSandboxProvider"),
)
monkeypatch.setattr(lead_agent_module, "get_app_config", lambda: app_config)
monkeypatch.setattr(
lead_agent_module,
"create_chat_model",
lambda **kwargs: object(),
)
monkeypatch.setattr(lead_agent_module, "create_agent", lambda **kwargs: kwargs)
return app_config
@staticmethod
def _extensions_with_an_agent_assembly_observer(observer=None):
"""A minimal LoadedExtensions carrying one agent-assembly observer.
Building the descriptor is real work (hashing every tool's description
and schema, probing every middleware), so it only happens when an
observer is actually registered to receive it.
"""
from deerflow.extensions.registry import ExtensionRegistry
class _NoOpObserver:
def on_agent_assembled(self, app_store, descriptor):
return None
registry = ExtensionRegistry()
with registry.attributed_to("test"):
registry.agent_assembly_observer(observer or _NoOpObserver())
return registry.build()
def test_assemble_returns_both_the_graph_and_a_descriptor(self, monkeypatch):
from deerflow.agents.lead_agent.agent import LeadAgentAssembly, assemble_lead_agent
from deerflow.extensions import bind_agent_build_extensions
self._isolate_from_the_ambient_config(monkeypatch)
with bind_agent_build_extensions(self._extensions_with_an_agent_assembly_observer()):
assembly = assemble_lead_agent({"configurable": {"thread_id": "t-1"}})
assert isinstance(assembly, LeadAgentAssembly)
assert assembly.graph is not None
assert assembly.descriptor.effective_model
assert assembly.descriptor.fingerprint
def test_observers_receive_the_descriptor(self, monkeypatch):
from deerflow.agents.lead_agent.agent import assemble_lead_agent
from deerflow.extensions import bind_agent_build_extensions
seen = []
class Observer:
def on_agent_assembled(self, app_store, descriptor):
seen.append(descriptor)
monkeypatch.setattr(
"deerflow.extensions.notify.notify_agent_assembled",
lambda descriptor, extensions=None: Observer().on_agent_assembled(None, descriptor),
)
self._isolate_from_the_ambient_config(monkeypatch)
with bind_agent_build_extensions(self._extensions_with_an_agent_assembly_observer()):
assemble_lead_agent({"configurable": {"thread_id": "t-2"}})
assert len(seen) == 1
def test_no_descriptor_is_built_without_a_registered_observer(self, monkeypatch):
"""The zero-observer fast path must skip the expensive build entirely,
not just skip notifying — mirroring notify_agent_assembled's own
zero-observer short-circuit."""
from deerflow.agents.lead_agent.agent import assemble_lead_agent
def _fail(*args, **kwargs):
raise AssertionError("build_assembly_descriptor must not run without an observer")
monkeypatch.setattr("deerflow.agents.assembly_descriptor.build_assembly_descriptor", _fail)
self._isolate_from_the_ambient_config(monkeypatch)
assembly = assemble_lead_agent({"configurable": {"thread_id": "t-3"}})
assert assembly.descriptor is None
class TestFactoryConsumersUnwrapTheGraph:
"""A missed unwrap fails at request time, not at import time."""
def test_worker_unwraps_the_assembly(self):
from deerflow.agents.lead_agent.agent import LeadAgentAssembly
from deerflow.runtime.runs.worker import _agent_graph
graph = object()
assert _agent_graph(LeadAgentAssembly(graph=graph, descriptor=object())) is graph
def test_worker_leaves_a_third_party_bare_graph_alone(self):
from deerflow.runtime.runs.worker import _agent_graph
graph = object()
assert _agent_graph(graph) is graph
class TestAssemblyObserverHost:
def test_registration_survives_rollback_of_a_later_install(self):
from deerflow.extensions.registry import ExtensionRegistry
class Observer:
def on_agent_assembled(self, app_store, descriptor):
return None
registry = ExtensionRegistry()
keeper = Observer()
with registry.attributed_to("keeper"):
registry.agent_assembly_observer(keeper)
mark = registry.mark()
with registry.attributed_to("doomed"):
registry.agent_assembly_observer(Observer())
registry.rollback_to(mark)
loaded = registry.build()
assert loaded.agent_assembly_observers == (("keeper", keeper),)
assert loaded.has_agent_assembly_observers is True
# The descriptor is app-scoped; it does not create a task store need.
assert loaded.needs_task_store is False
def test_a_broken_observer_does_not_stop_its_successors(self, caplog):
from deerflow.extensions.notify import notify_agent_assembled
from deerflow.extensions.registry import ExtensionRegistry
seen = []
class Broken:
def on_agent_assembled(self, app_store, descriptor):
raise RuntimeError("boom")
class Working:
def on_agent_assembled(self, app_store, descriptor):
seen.append(descriptor)
registry = ExtensionRegistry()
with registry.attributed_to("broken"):
registry.agent_assembly_observer(Broken())
with registry.attributed_to("working"):
registry.agent_assembly_observer(Working())
loaded = registry.build()
notify_agent_assembled("descriptor", loaded)
assert seen == ["descriptor"]
class TestBuildIdentityIsOutsideTheFingerprint:
"""A redeploy that changed nothing must not look like an assembly change."""
def _descriptor(self, build):
return AgentAssemblyDescriptor(
namespace="lead",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_parameters={},
thinking_enabled=False,
reasoning_effort=None,
base_prompt_hash="abc",
tools=(),
middlewares=(),
deferred_tool_names=(),
enabled_skills=(),
effective_policies={},
build=build,
)
def test_two_builds_of_the_same_assembly_share_a_fingerprint(self):
before = self._descriptor({"package_version": "1.0.0", "git_commit": "aaaa", "image_digest": "sha256:aaa"})
after = self._descriptor({"package_version": "1.0.1", "git_commit": "bbbb", "image_digest": "sha256:bbb"})
assert before.fingerprint == after.fingerprint
def test_the_build_itself_stays_comparable(self):
"""The coarser question must remain answerable, just separately."""
before = self._descriptor({"git_commit": "aaaa"})
after = self._descriptor({"git_commit": "bbbb"})
assert before.build != after.build
def test_the_builder_reports_a_build_without_hashing_it(self):
from deerflow.agents.assembly_descriptor import build_assembly_descriptor
def make():
return build_assembly_descriptor(
namespace="deerflow",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_config=None,
thinking_enabled=False,
reasoning_effort=None,
rendered_base_prompt="prompt",
tools=[],
middlewares=[],
deferred_names=frozenset(),
enabled_skills=[],
effective_policies={},
)
descriptor = make()
assert descriptor.build["package_version"]
assert "build" not in descriptor.effective_policies
assert descriptor.fingerprint == make().fingerprint
class TestWrappedExtensionMiddlewaresStayDistinguishable:
"""Contributed middlewares all share the isolation wrapper's class name."""
@staticmethod
def _wrap(inner, source):
from deerflow.extensions.isolation import IsolatedMiddleware
return IsolatedMiddleware(inner, source, lambda diagnostic: None)
@staticmethod
def _inner(name, *, policy=None):
from langchain.agents.middleware import AgentMiddleware
namespace = {}
if policy is not None:
namespace["release_policy_parameters"] = lambda self: dict(policy)
return type(name, (AgentMiddleware,), namespace)()
def test_two_extensions_middlewares_do_not_collapse_into_one_descriptor(self):
from deerflow.agents.assembly_descriptor import describe_middleware
first = describe_middleware(self._wrap(self._inner("AlphaMiddleware"), "ext-a"))
second = describe_middleware(self._wrap(self._inner("BetaMiddleware"), "ext-b"))
assert first.name == "AlphaMiddleware"
assert second.name == "BetaMiddleware"
assert first.extension == "ext-a"
assert second.extension == "ext-b"
assert first != second
def test_a_wrapped_declaration_reaches_the_descriptor(self):
from deerflow.agents.assembly_descriptor import describe_middleware
descriptor = describe_middleware(self._wrap(self._inner("DeclaringMiddleware", policy={"limit": 7}), "ext-a"))
assert descriptor.policy_parameters == {"limit": 7}
assert "probed" not in descriptor.policy_parameters
def test_a_policy_change_inside_a_wrapped_middleware_moves_the_fingerprint(self):
from dataclasses import replace
from deerflow.agents.assembly_descriptor import describe_middleware
def descriptor_for(limit):
return AgentAssemblyDescriptor(
namespace="lead",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_parameters={},
thinking_enabled=False,
reasoning_effort=None,
base_prompt_hash="abc",
tools=(),
middlewares=(describe_middleware(self._wrap(self._inner("DeclaringMiddleware", policy={"limit": limit}), "ext-a")),),
deferred_tool_names=(),
enabled_skills=(),
effective_policies={},
)
assert descriptor_for(1).fingerprint != descriptor_for(2).fingerprint
# And the same policy from a different extension is a different agent.
base = descriptor_for(1)
other = replace(base, middlewares=(replace(base.middlewares[0], extension="ext-b"),))
assert base.fingerprint != other.fingerprint
def test_an_unwrapped_host_middleware_reports_no_extension(self):
from deerflow.agents.assembly_descriptor import describe_middleware
descriptor = describe_middleware(self._inner("HostMiddleware", policy={"limit": 1}))
assert descriptor.extension is None
assert descriptor.name == "HostMiddleware"
class TestModelParametersProjectEffectiveSettings:
"""Provider kwargs a user actually sets must move the fingerprint.
``ModelConfig`` is ``extra="allow"``, so ``temperature``/``max_tokens``/
anything else a deployer sets live only as extra fields; a fixed allowlist
never saw them. And the *effective* per-agent override (issue #4336's
``model_settings``) must reach the descriptor too, not just the static
profile.
"""
@staticmethod
def _build(model_config, *, model_overrides=None):
from deerflow.agents.assembly_descriptor import build_assembly_descriptor
return build_assembly_descriptor(
namespace="deerflow",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_config=model_config,
model_overrides=model_overrides,
thinking_enabled=False,
reasoning_effort=None,
rendered_base_prompt="prompt",
tools=[],
middlewares=[],
deferred_names=frozenset(),
enabled_skills=[],
effective_policies={},
)
@staticmethod
def _model_config(**extra):
from deerflow.config.model_config import ModelConfig
return ModelConfig(
name="assembly-test-model",
display_name=None,
description=None,
use="langchain_openai:ChatOpenAI",
model="gpt-x",
**extra,
)
def test_changing_temperature_changes_the_fingerprint(self):
cold = self._build(self._model_config(temperature=0.1))
hot = self._build(self._model_config(temperature=0.9))
assert cold.fingerprint != hot.fingerprint
assert cold.model_parameters["temperature"] == 0.1
def test_changing_a_per_agent_model_setting_changes_the_fingerprint(self):
"""The *effective* override, not just the static profile, must count."""
model_config = self._model_config()
without_override = self._build(model_config)
with_override = self._build(model_config, model_overrides={"temperature": 0.7})
assert without_override.fingerprint != with_override.fingerprint
assert with_override.model_parameters["temperature"] == 0.7
def test_a_none_valued_override_does_not_clobber_the_profile(self):
model_config = self._model_config(temperature=0.3)
profile_only = self._build(model_config)
with_noop_override = self._build(model_config, model_overrides={"temperature": None})
assert profile_only.fingerprint == with_noop_override.fingerprint
def test_api_key_is_never_projected_and_never_moves_the_fingerprint(self):
quiet = self._build(self._model_config(api_key="sk-aaaaaaaaaaaa"))
loud = self._build(self._model_config(api_key="sk-bbbbbbbbbbbb"))
assert "api_key" not in quiet.model_parameters
assert quiet.fingerprint == loud.fingerprint
def test_an_override_named_like_a_credential_is_also_excluded(self):
model_config = self._model_config()
descriptor = self._build(model_config, model_overrides={"api_key": "sk-should-not-appear"})
assert "api_key" not in descriptor.model_parameters
class TestCustomAgentModelSettingsReachTheDescriptor:
"""End-to-end: a custom agent's ``model_settings`` must move the fingerprint.
``agent.py`` computes ``agent_model_overrides`` from ``agent_config.model_settings``
and passes it into ``create_chat_model``; this checks it also reaches
``_complete_assembly`` -> ``build_assembly_descriptor`` for the default
(non-bootstrap) assembly branch. Composes with (rather than subclasses)
``TestLeadAgentAssembly``'s isolation helpers so this class's own tests are
the only ones that run under it.
"""
def test_temperature_override_on_a_custom_agent_changes_the_fingerprint(self, monkeypatch):
from deerflow.agents.lead_agent import agent as lead_agent_module
from deerflow.agents.lead_agent.agent import assemble_lead_agent
from deerflow.config.agents_config import AgentConfig, AgentModelSettings
from deerflow.extensions import bind_agent_build_extensions
TestLeadAgentAssembly._isolate_from_the_ambient_config(monkeypatch)
def assemble(temperature):
agent_config = AgentConfig(name="custom", model_settings=AgentModelSettings(temperature=temperature))
monkeypatch.setattr(lead_agent_module, "load_agent_config", lambda name, user_id=None: agent_config)
with bind_agent_build_extensions(TestLeadAgentAssembly._extensions_with_an_agent_assembly_observer()):
return assemble_lead_agent({"configurable": {"thread_id": "t-model-settings", "agent_name": "custom"}})
low = assemble(0.1)
high = assemble(0.9)
assert low.descriptor.fingerprint != high.descriptor.fingerprint
assert high.descriptor.model_parameters["temperature"] == 0.9
def test_bootstrap_assembly_does_not_invent_model_overrides(self, monkeypatch):
"""The bootstrap branch has no ``agent_config``, so no overrides exist to project."""
from deerflow.agents.lead_agent.agent import assemble_lead_agent
from deerflow.extensions import bind_agent_build_extensions
TestLeadAgentAssembly._isolate_from_the_ambient_config(monkeypatch)
with bind_agent_build_extensions(TestLeadAgentAssembly._extensions_with_an_agent_assembly_observer()):
assembly = assemble_lead_agent({"configurable": {"thread_id": "t-bootstrap", "is_bootstrap": True}})
assert "temperature" not in assembly.descriptor.model_parameters
class TestSkillCatalogHashesContent:
"""Editing SKILL.md changes what ``SkillActivationMiddleware`` injects into
the turn, so it must change the fingerprint even though name/description/
allowed-tools are untouched."""
@staticmethod
def _skill(skill_dir: Path, *, required_secrets=(), secrets_autonomous=True):
from deerflow.skills.types import Skill, SkillCategory
skill_file = skill_dir / "SKILL.md"
return Skill(
name="my-skill",
description="A test skill",
license=None,
skill_dir=skill_dir,
skill_file=skill_file,
relative_path=Path(skill_dir.name),
category=SkillCategory.CUSTOM,
required_secrets=required_secrets,
secrets_autonomous=secrets_autonomous,
)
@staticmethod
def _build(enabled_skills):
from deerflow.agents.assembly_descriptor import build_assembly_descriptor
return build_assembly_descriptor(
namespace="deerflow",
agent_name="lead-agent",
requested_model=None,
effective_model="gpt-x",
model_config=None,
thinking_enabled=False,
reasoning_effort=None,
rendered_base_prompt="prompt",
tools=[],
middlewares=[],
deferred_names=frozenset(),
enabled_skills=enabled_skills,
effective_policies={},
)
def test_changing_only_skill_md_content_changes_the_fingerprint(self, tmp_path):
skill_dir = tmp_path / "my-skill"
skill_dir.mkdir()
skill = self._skill(skill_dir)
(skill_dir / "SKILL.md").write_text("---\nname: my-skill\n---\nOriginal instructions.\n", encoding="utf-8")
before = self._build([skill])
(skill_dir / "SKILL.md").write_text("---\nname: my-skill\n---\nCompletely different instructions.\n", encoding="utf-8")
after = self._build([skill])
assert before.fingerprint != after.fingerprint
assert before.enabled_skills == after.enabled_skills # the catalog's visible identity is unchanged
def test_required_secrets_flag_changes_the_fingerprint(self):
from deerflow.skills.types import SecretRequirement
no_secrets = self._skill(Path("/nonexistent/skill-a"))
with_secret = self._skill(Path("/nonexistent/skill-b"), required_secrets=(SecretRequirement(name="API_KEY"),))
assert self._build([no_secrets]).fingerprint != self._build([with_secret]).fingerprint
def test_a_missing_skill_file_is_undescribable_not_fatal(self, tmp_path):
skill = self._skill(tmp_path / "missing-skill")
descriptor = self._build([skill])
assert descriptor.fingerprint