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FC trialgpt-matching

(no description)

FreedomIntelligence/OpenClaw-Medical-Skills Agent Skills author: FreedomIntelligence 16 files · 8 scripts body ≈ 584 tokens Open the sourcegithub.com↗ analyzed 12 h ago

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As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
F
53/100
safety, quality, tests
Safety 60%
89
Quality 40%
0
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 11

✓ No critical or high findings

Medium and low: 11
  • low Secrets in code secret-high-entropy-token README.md:77
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    <!-- AUTHOR_SIGNATURE: 9a7f…URE -->
    detector
  • low Secrets in code secret-high-entropy-token repo/README.md:200
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    <!-- AUTHOR_SIGNATURE: 9a7f…URE -->
    detector
  • low Secrets in code secret-high-entropy-token repo/results/__init__.py:12
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_matching/run_matching.py:73
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_matching/TrialGPT.py:130
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_ranking/rank_results.py:132
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_ranking/run_aggregation.py:90
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_ranking/TrialGPT.py:132
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_retrieval/hybrid_fusion_retrieval.py:237
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token repo/trialgpt_retrieval/keyword_generation.py:71
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    __AUTHOR_SIGNATURE__ = "9a7f…URE"
    detector
  • low Secrets in code secret-high-entropy-token SKILL.md:66
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    <!-- AUTHOR_SIGNATURE: 9a7f…URE -->
    detector

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 584 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 24 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.