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BB tooluniverse-systems-biology

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.

FreedomIntelligence/OpenClaw-Medical-Skills Agent Skills author: FreedomIntelligence 9 files · 2 scripts body ≈ 3 181 tokens Open the sourcegithub.com↗ analyzed 14 h ago

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels).

As a process B 65/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, progress reporting

AnalyzerData and analyticstype 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
B
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
87
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token test4_combined.md:93
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      | BIOM…344 | Proc…ion |
      fixture
    • low Secrets in code secret-high-entropy-token test4_combined.md:95
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      | MODE…000 | Bial…del |
      fixture
    • low Secrets in code secret-high-entropy-token test4_combined.md:96
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      | BIOM…407 | Schl…sis |
      fixture
    • low Secrets in code secret-high-entropy-token test4_combined.md:97
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      | BIOM…243 | Neum…sis |
      fixture
    • low Secrets in code secret-high-entropy-token test4_combined.md:98
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      | MODE…000 | Calz…del |
      fixture

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 143 steps, 2 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3181 tokens
    • 100Running it twice. Mutating operations check current state
    • low 14 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 344: enough signal without eating the budget
    • +4Structure: 46 headings
    • +3Step-by-step instructions: 143 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.