SKILLEMALL.ai
GitHub ↗ RU Sign in

DD claw-asset-privacy-guardian

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: SkilledClaw v0.1.0 6 files body ≈ 1 515 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
D
56/100
safety, quality, tests
Safety 60%
93
Quality 40%
0
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-labelled-token test_asset_privacy_guardian.py:26
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    API_KEY = "sk_t…def"
    placeholder
  • low Secrets in code secret-password-literal test_asset_privacy_guardian.py:26
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY = "sk_t…def"
    placeholder
  • low Secrets in code secret-high-entropy-token test_asset_privacy_guardian.py:31
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    WALLET_ADDRESS = "0x74…5e3"
    fixturequoted
  • low Secrets in code secret-high-entropy-token test_asset_privacy_guardian.py:55
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    - Bitcoin wallet address: 1A1z…fNa
    fixturequoted
  • low Secrets in code secret-high-entropy-token test_asset_privacy_guardian.py:56
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    - Ethereum address: 0x74…5e3
    fixturequoted
  • low Secrets in code secret-aws-key test_asset_privacy_guardian.py:63
    AWS access key ID (placeholder value)
    AWS_ACCESS_KEY_ID=AKIA…PLE
    placeholder
  • low Secrets in code secret-high-entropy-token test_asset_privacy_guardian.py:133
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    ("Wallet: 0x74…5e3", "[CRYPTO_ADDRESS_REDACTED]"),
    fixturequoted

Files scanned: 6. 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 44/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 137 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1515 tokens
  • 100Running it twice. No mutating operations

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
  • -222 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 58 headings
  • +3Step-by-step instructions: 137 items
  • +4Has examples (11 code blocks)

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

External checks

ClawHub: clean
This appears to be a local privacy scanning tool, but users should treat its exported reports as potentially sensitive.
LLM: benign (high) · VirusTotal: suspicious · 28 May 2026