SKILLEMALL.ai

AD skills-audit

Audit locally installed agent skills for security/policy issues using the SkillLens CLI (`skilllens scan`, `skilllens config`). Use when asked to scan a skills directory (Codex/Claude) and produce a risk-focused audit report based on each skill's `SKILL.md` and bundled resources.

ClawHub Agent Skills author: jzargona v1.0.1 MIT-0 3 files body ≈ 901 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
97
Quality 40%
80
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: skills-audit (ClawHub)

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 · 3

    ✓ No critical or high findings

    Medium and low: 3

    ✓ Guard found no suspicious behaviour. 3 matches are attack strings quoted in this security skill's own documentation.

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 49/100

    • 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. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (skills-audit) differs from the folder (skill-audit)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 40 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 901 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 280: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 40 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This skill gives coherent, user-directed instructions for auditing local agent skills and does not show hidden, destructive, or data-exfiltrating behavior.
    LLM: benign (high) · VirusTotal: · 1 Jul 2026