SKILLEMALL.ai

BC skill-vitals

Audit installed Agent Skills: which actually load, what they cost in context, where they conflict, and which are unused. Use when users ask how many skills are installed or active, why a skill never triggered, which are duplicated or safe to remove, how much startup context they cost, or whether one looks unsafe. Claude Code, Codex, OpenClaw, Hermes, WorkBuddy. 体检已安装 Skills:清单、是否真的加载、上下文成本、覆盖冲突、为什么没触发、僵尸清理与供应链风险。

ClawHub Agent Skills author: Bear Xiong v1.2.0 MIT-0 33 files body ≈ 1 355 tokens Open the sourceclawhub.ai analyzed 2 d ago

Audit installed Agent Skills: which actually load, what they cost in context, where they conflict, and which are unused.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
91
Quality 40%
76
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

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

Instruction override 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 text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.

For the author

An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.

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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Instruction override en-ignore-previous references/judgment.md:103
      Instruction-override phrase ("ignore previous instructions") (documentation of a security skill)
      | SV501 | `adversarial_instruction` | tries to override prior instructions or hide actions |
      security skill

    A further 4 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 33. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Audit installed Agent Skills: which actually load, what they cost … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1355 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 416: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 11 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: clean
    This is a coherent local audit tool for installed agent skills, but its reports and snapshots can expose private local paths and skill metadata.
    LLM: benign (high) · VirusTotal: · 15 Aug 2026