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BA api3-feed-manager

Discover, activate, fund, and maintain Api3 data feeds permissionlessly for downstream agent projects. Use when an agent needs a decentralized data feed pricing a blockchain based asset on a supported chain, needs to ensure feed runway for a build or deployment, or must maintain an already-enabled feed over time. Default to discovery, readiness checks, and dry-run planning first, and only use signer-backed execution when the user explicitly asks for it.

ClawHub Agent Skills author: dave v0.4.4 MIT-0 11 files body ≈ 2 268 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 86/100 · Runs to the end — weak spots: progress reporting

GeneratorAI and agentsInfrastructuretype 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
B
88/100
safety, quality, tests
Safety 60%
93
Quality 40%
80
Run on models
none yet
Process rating
A
86/100
Runs to the end
Progress reporting w 2
0
Result and completion w 14
60
When it triggers w 12
70
the three weakest of ten parameters · all ten

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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token references/part1-research.md:116
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - the package exposes **`comp…ess`**
      quoted
    • low Secrets in code secret-high-entropy-token references/part1-research.md:117
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - it also exposes **`comp…ess`**
      quoted
    • low Secrets in code secret-high-entropy-token scripts/api3-feed-manager.js:16
      High-entropy token-like string (may be an id, hash or a credential)
      Api3…ory,
    • low Secrets in code secret-high-entropy-token scripts/api3-feed-manager.js:18
      High-entropy token-like string (may be an id, hash or a credential)
      comp…ess,
    • low Secrets in code secret-high-entropy-token scripts/api3-feed-manager.js:924
      High-entropy token-like string (may be an id, hash or a credential)
      const communalProxy = chainState?.communalProxy || comp…ess(chainId, dapiName);
    • low Secrets in code secret-high-entropy-token scripts/api3-feed-manager.js:1008
      High-entropy token-like string (may be an id, hash or a credential)
      const communalProxy = chainState?.communalProxy || comp…ess(chainId, dapiName);
    • low Secrets in code secret-high-entropy-token scripts/api3-feed-manager.js:1459
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      from: '0x00…EaD',
      quoted

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 86/100

    • 0Progress reporting. Says nothing while it works
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 125 steps
    • 100Failures and branches. 7 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2268 tokens
    • 100Running it twice. Mutating operations check current state
    • low 10 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)
    • -43 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
    • +3Description length 457: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 125 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: suspicious
    This skill has a coherent on-chain feed-management purpose, but it needs review because it can spend funds and includes unsafe private-key command-line guidance.
    LLM: suspicious (medium) · 28 May 2026