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BC gitguard

Git Security Scanner & Repo Health Auditor — entropy-based secret detection, composite health scoring, commit quality analysis, stale branch cleanup, and dependency freshness checks across all your local repos. Local-first, no data leaves your machine except optional GitHub API reads.

ClawHub Hermes author: welove111 v1.0.0 MIT-0 16 files body ≈ 941 tokens Open the sourceclawhub.ai↗ analyzed 23 h ago

Git Security Scanner & Repo Health Auditor — entropy-based secret detection, composite health scoring, commit quality analysis, stale branch cleanup, and…

As a process C 52/100 · Has gaps — weak spots: result and completion, failures and branches, consistency

AnalyzerGitHubSoftware developmentSecurityQuality controltype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
88
Quality 40%
73
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Secrets in code medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Secrets in code secret-private-key gitguard_skill/entropy.py:59
    Private key material (key header without key body; quoted — discussed, not commanded)
    # '"-----BEGIN PRIVATE KEY----- …
    header onlyquoted
  • medium Secrets in code secret-private-key gitguard_skill/entropy.py:130
    Private key material (key header without key body; quoted — discussed, not commanded)
    # '"-----BEGIN PRIVATE KEY----- …
    header onlyquoted
  • low Secrets in code secret-high-entropy-token README.md:89
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - SOL: `3G5U…raz`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:92
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - SOL: `3G5U…raz`
    quoted

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 285 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "protocols"

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 14 mutating operations with no state check
  • 40Consistency. Frontmatter name (gitguard) differs from the folder (gitguard-skill)
  • 60Tools and files. Uses tools (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
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 941 tokens

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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 285: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 17 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
GitGuard is a disclosed local repository auditing tool, with expected read-only repo access and optional network checks, but users should understand the metadata those checks expose.
LLM: benign (medium) · VirusTotal: · 16 Jul 2026