SKILLEMALL.ai

AC code-security-check

Audit the current project for sensitive information leaks before pushing to public repositories. This skill should be used when the user asks to check for security issues, scan for secrets, review .gitignore coverage, audit a project before open-sourcing, or when they mention keywords like "安全检查", "敏感信息", "泄露", "gitignore", "密钥", "API key leak", "before pushing to GitHub", "开源检查". It scans the working tree for exposed credentials, API keys, tokens, private keys, and misconfigured .gitignore files.

ClawHub Agent Skills author: mate-matt v1.0.1 MIT-0 2 files body ≈ 2 242 tokens Open the sourceclawhub.ai analyzed 27 h ago

Audit the current project for sensitive information leaks before pushing to public repositories.

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions

AnalyzerGitHubTerraformDockerAWSSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 62/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 85Steps. 51 steps, 2 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2242 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -212 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 502: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 51 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: clean
    This skill is a disclosed repository secret-audit guide that reads project files only to find potential leaks and does not include hidden execution, persistence, or exfiltration behavior.
    LLM: benign (high) · VirusTotal: · 8 Jun 2026