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AA industry-report-sprint

从行业名称快速完成带引用的行业研究报告，适用于市场分析、竞争格局、 代表产品对比、进入壁垒和决策简报，无需先上传研报。 / Research a sector and write a source-cited industry report covering market structure, representative products, competitive differences, barriers, and information gaps. Use for a written decision brief rather than a report reading list or slide deck; retain evidence and report revisions in JishuDB.

ClawHub Agent Skills author: bowen-aijishu v0.1.7 MIT-0 10 files · 2 scripts body ≈ 4 767 tokens Open the sourceclawhub.ai↗ analyzed 12 d ago

从行业名称快速完成带引用的行业研究报告，适用于市场分析、竞争格局、 代表产品对比、进入壁垒和决策简报，无需先上传研报。 / Research a sector and write a source-cited industry report covering market structure…

As a process A 84/100 · Runs to the end — weak spots: running it twice

GeneratorData 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
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
A
84/100
Runs to the end
Running it twice w 4
30
When it triggers w 12
50
Result and completion w 14
60
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token references/jishudb-setup/scripts/install-macos.sh:287
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      exactKeys(candidate.signing, ['certificateExpiresAt', 'cert…256', 'nativeFileCount'], 'candidate.signing');
      quoted

    Files scanned: 10. 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 84/100

    • 30Running it twice. 11 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4767 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 41 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress

    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 360: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 41 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a disclosed JishuDB-backed report-writing skill, with a high-impact but approval-gated Desktop installer path users should review before use.
    LLM: benign (medium) · VirusTotal: · 11 Oct 2026