BF agent-hivemind
Agents learning from agents. Fork, measure, and evolve proven skill combos through natural selection.
As a process F 40/100 · Will not run — References files that are not bundled: scripts/.hivemind-key.pem
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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-blobscripts/hivemind.py:25Long 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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: scripts/.hivemind-key.pem - note
frontmatter-keyunknown 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 CLI for sharing and discovering OpenClaw skill recipes, and its local reads, remote submissions, identity hash, and signing key are mostly disclosed and aligned with that purpose.
LLM: benign (medium) · VirusTotal: · 29 May 2026