BF capability-evolver
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
As a process F 37/100 · Will not run — References files that are not bundled: assets/gep/events.jsonl
AnalyzerSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
The same skill appears in 10 more places: ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub
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 Exfiltration
net-credential-usetop5-genes-full.json:620Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition)"code_snippet": "async function setWaterHeaterTemp(token, deviceId, targetTemp) {\n const endpoint = \"https://api.smartdevice.cloud/graphql\";\n const mutation = `mutation {\n setDeviceProperty(detector
Files scanned: 75. 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: assets/gep/events.jsonl
Process rating: all ten parameters 37/100
Will not run. References files that are not bundled: assets/gep/events.jsonl
- 0Tools and files. 1 referenced file(s) missing: assets/gep/events.jsonl
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (capability-evolver) differs from the folder (evolver-1-17-1)
- 70Failures and branches. 4 branches
- 100Steps. 14 steps
- 100Execution cost. Instruction body is 1009 tokens
- 100Progress reporting. Reports progress
- 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)
- +3Output format is not stated: the model decides each time
- -313 of 13 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 132: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: suspicious
This is a powerful self-evolving agent skill, but it reaches beyond local prompt analysis by reading broad local agent history, using external EvoMap hub workflows, and enabling automated/background mutation paths.
LLM: suspicious (high) · VirusTotal: · 29 May 2026