SKILLEMALL.ai
GitHub ↗ RU Sign in

BF feishu-evolver-wrapper

Feishu-integrated wrapper for the capability-evolver. Manages the evolution loop lifecycle (start/stop/ensure), sends rich Feishu card reports, and provides dashboard visualization. Use when running evolver with Feishu reporting or when managing the evolution daemon.

modbender/skill-library-mcp Agent Skills author: modbender MIT 23 files · 1 script body ≈ 248 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Feishu-integrated wrapper for the capability-evolver.

As a process F 35/100 · Will not run — References files that are not bundled: assets/gep/events.jsonl

IntegrationData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
78
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/gep/events.jsonl
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-background-process daemon.sh:36
    Starts a background / autostarted process (code comment)
    # Use setsid to detach completely
    comment
  • low Dangerous commands cmd-background-process daemon.sh:37
    Starts a background / autostarted process
    setsid nohup node "$WRAPPER_SCRIPT" --loop >> "$LOG_DIR/evolver_loop.log" 2>&1 &
  • low Exfiltration net-credential-use export_history.js:76
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    const res = await fetch(`https://open.feishu.cn/open-apis/docx/v1/documents/${DOC_TOKEN}/blocks/${DOC_TOKEN}/children`, {
    vendor-host

Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/gep/events.jsonl

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/gep/events.jsonl
  • 0Tools and files. 1 referenced file(s) missing: assets/gep/events.jsonl
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 248 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 267: enough signal without eating the budget
  • +4Structure: 3 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.