SKILLEMALL.ai
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BB write-like-me

Use before producing any English text the user signs — READMEs, PRs, issues, PR and issue comments, code comments, emails, blog posts, human-facing docs — drafted or rewritten at native fluency in the voice of the skill's author, Vinta Chen. Fires mid-task too: a comment drafted inside another skill's workflow, or text the user will approve before it ships. Not for text addressed to agents unless the user asks

vinta/hal-9000 Claude Code author: vinta MIT 4 files body ≈ 2 412 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Use before producing any English text the user signs — READMEs, PRs, issues, PR and issue comments, code comments, emails, blog posts, human-facing docs —…

As a process B 74/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorWriting and documentsSoftware 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
B
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
87
Run on models
none yet
Process rating
B
74/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Result and completion w 14
40
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Risky intent intent-wallet-secrets references/exemplars.md:64
      Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
      > Never store a hardware wallet's seed phrase digitally, NEVER.
      quoted
    • low Risky intent intent-wallet-secrets references/style-spec.md:90
      Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (test fixture / example file; quoted — discussed, not commanded)
      - Emphasis budget: bold and CAPS spend on irreversible harm ("Never store a hardware wallet's seed phrase digitally, NEVER.") or a bare negation carrying weight ("NO INDEX at all") — never on exciteme
      fixturequoted

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "effort"

    Process rating: all ten parameters 74/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Result and completion. Does not say what the result is
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 12 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2412 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 413: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 12 items
    • +4Reference files are cited in the instructions (2 of 3)

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