SKILLEMALL.ai

AF skill-auditor-plus

Security, performance, and quality auditing for AgentSkills. Use when reviewing skills before installation, auditing during development, checking installed skills for risks, optimizing performance, or ensuring best practices compliance. Automated scanning for dangerous operations, credential leaks, token bloat, and quality issues.

ClawHub Agent Skills author: caleb v1.0.0 MIT-0 6 files body ≈ 1 707 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: references/feature-name.md

AnalyzerAI and agentsInfrastructureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
85
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/feature-name.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 Secrets in code secret-password-literal references/best-practices.md:135
    Hard-coded password / key literal (may be an example) (placeholder value)
    api_key = "sk-1…890"
    placeholder

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/feature-name.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/feature-name.md
  • 0Tools and files. 1 referenced file(s) missing: references/feature-name.md
  • 0Result and completion. Does not say what the result is
  • 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. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 43 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1707 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill

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 332: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: clean
No artifact-backed malicious or review-worthy behavior was identified from the supplied scan context.
LLM: benign (medium) · VirusTotal: · 29 May 2026