SKILLEMALL.ai

DC clawmeter

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Someone0070 v1.0.0 22 files · 1 script body ≈ 2 905 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
52/100
safety, quality, tests
Safety 60%
87
Quality 40%
0
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 13

✓ No critical or high findings

Medium and low: 13
  • low Exfiltration read-dotenv CONTRIBUTING.md:126
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv docs/QUICKSTART.md:53
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-background-process docs/QUICKSTART.md:139
    Starts a background / autostarted process
    nohup npm start > clawmeter.log 2>&1 &
  • low Dangerous commands cmd-background-process docs/QUICKSTART.md:163
    Starts a background / autostarted process
    sudo systemctl enable clawmeter
  • low Secrets in code secret-high-entropy-token package-lock.json:21
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:151
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLw+xYSd…cqA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:218
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…FrF+LTRo…W3g==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:227
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:236
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…5bm+c2gQ…aG5+esrLODihIorn+Pe6F…dXA==",
    detector
  • low Exfiltration read-dotenv README.md:38
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv SKILL.md:43
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-background-process SKILL.md:481
    Starts a background / autostarted process
    sudo systemctl enable clawmeter
  • low Exfiltration exfil-webhook-url src/alerts.mjs:79
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    const url = `https://api.telegram.org/bot${config.telegram.botToken}/sendMessage`;
    placeholder

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 101 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2905 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 54 headings
  • +3Step-by-step instructions: 101 items
  • +4Has examples (27 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
ClawMeter appears to be a real cost-tracking dashboard, but its unauthenticated local API is under-scoped and may be exposed more broadly than the documentation claims.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026