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DF openclaw-memory-master

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: cp3d1455926-svg v4.3.0 MIT-0 41 files body ≈ 4 434 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 33/100 · Will not run — References files that are not bundled: LICENSE

ProcedureInfrastructuretype 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
55/100
safety, quality, tests
Safety 60%
91
Quality 40%
0
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: LICENSE
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
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.
  2. 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 · 9

✓ No critical or high findings

Medium and low: 9
  • low Secrets in code secret-high-entropy-token AutoTagger.ts:256
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…hcH
  • low Secrets in code secret-high-entropy-token compact.js:227
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…7Oz
  • low Secrets in code secret-high-entropy-token curator.js:255
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…7Oz
  • low Secrets in code secret-high-entropy-token filter.js:634
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…7Oz
  • low Secrets in code secret-github-token index.js:95
    GitHub token (placeholder value)
    { input: 'GitHub Token: ghp_…789', expected: true },
    placeholder
  • low Secrets in code secret-high-entropy-token index.js:128
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…7O0
  • low Secrets in code secret-high-entropy-token retrieve.js:454
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…zIj
  • low Secrets in code secret-high-entropy-token skill-evolver.js:349
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…BOz
  • low Secrets in code secret-high-entropy-token token-optimizer.js:313
    High-entropy token-like string (may be an id, hash or a credential)
    //# sourceMappingURL=data:application/json;base64,eyJ2…uZ3

Files scanned: 41. 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
  • warning missing-ref reference to a missing file: LICENSE

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 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
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4434 tokens
  • 100Steps. 141 steps
  • 100Consistency. Name and required fields are in place
  • low 12 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
  • -235 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 141 items
  • +4Has examples (9 code blocks)

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

External checks

ClawHub: suspicious
This appears to be a memory-management skill, but its package layout is incoherent and it handles sensitive memories with weak disclosure and controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026