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AC anygen-doc

Use this skill any time the user wants to create, draft, or generate a written document or report. This includes: competitive analysis, market research reports, technical design docs, PRDs, project proposals, meeting summaries, white papers, business plans, literature reviews, due diligence reports, industry analysis, executive summaries, SOPs, memos, and any request where the output is a structured document. Also trigger when: user says 写个文档, 做个竞品调研, 写份报告, 产品需求文档, 技术方案, 项目提案, 行业分析, 会议纪要整理成文档. If a document or report needs to be created, use this skill.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 6 files body ≈ 4 074 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use this skill any time the user wants to create, draft, or generate a written document or report.

As a process C 63/100 · Has gaps — weak spots: result and completion, consistency

GeneratorWordData 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Consistency w 8
40
Tools and files w 18
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 · 0

    ✓ No critical or high findings

    Files scanned: 6. 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 63/100

    • 0Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (anygen-doc) differs from the folder (anygen-doc-generator)
    • 60Tools and files. Uses tools (read, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4074 tokens
    • 85Steps. 29 steps, 2 vague phrases
    • 100Failures and branches. 3 branches, has a failure section
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 559: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (12 code blocks)
    • +3All 3 scripts are documented

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