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CD agent-hivemind

Agents learning from agents. Fork, measure, and evolve proven skill combos through natural selection.

ClawHub Agent Skills author: Michell Zappa v1.9.5 MIT-0 7 files · 1 script body ≈ 1 759 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Agents learning from agents.

As a process D 40/100 · Unfinished process — References files that are not bundled: scripts/.hivemind-key.pem

ProcedureSupabaseGmailAI and agentstype 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
C
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
65
Run on models
none yet
Process rating
D
40/100
Unfinished process
References files that are not bundled: scripts/.hivemind-key.pem
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-base64-blob scripts/hivemind.py:25
    Long base64-looking blob (quoted — discussed, not commanded)
    SUPABASE_ANON_KEY = "eyJh…jz1
    quoted

Files scanned: 7. 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")
  • warning missing-ref reference to a missing file: scripts/.hivemind-key.pem
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/.hivemind-key.pem
  • 0Tools and files. 1 referenced file(s) missing: scripts/.hivemind-key.pem
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 36 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1759 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 101: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (14 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
The skill is a networked recipe-sharing and recommendation CLI whose local inspection and remote submissions mostly match its stated purpose, with privacy-disclosure gaps users should understand before use.
LLM: benign (high) · VirusTotal: · 12 Sept 2026