SKILLEMALL.ai

CC clawback

Autonomous state persistence engine that encrypts, secures, and anchors agent memories, state snapshots, and evolved skills onto 0G Storage.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Amir v1.0.0 MIT-0 20 files body ≈ 875 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
69/100
safety, quality, tests
Safety 60%
72
Quality 40%
65
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

Risky intent 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 purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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

  • high Secrets in code meta-credential-files .env
    Credential / dotenv files bundled with the skill (1)
    .env
Medium and low: 6
  • medium Risky intent intent-wallet-secrets skill-card.md:39
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    **Other Properties Related to Output:** [Requires 0G RPC and indexer configuration plus a wallet private key for upload commands.] <br>
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:27
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…gCD+45y7…bIm+5CLB/vmMaEBbvVWVETcsRhNg==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:36
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…Z4v+DkGoC42/TS2ond+PARCxTJvgTFUNDZovyQ/uAQ4…g7A==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:39
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…6I6+jvuq…Pqq+JZ0T…Rng==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:42
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…GmY+zPPWTC+wQrp…jmH+yCS3…njA==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:45
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…p81+8Ob3…L40/b0i7…gQw==}

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (clawback) differs from the folder (0g-clawback)
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 7 steps
  • 100Execution cost. Instruction body is 875 tokens
  • 100Progress reporting. Reports progress

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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -34 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 140: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This skill is a real backup/persistence tool, but it can upload broad local data and mishandles recovery keys, so users should review it carefully before installing.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026