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 40/100 · Will not run — References files that are not bundled: assets/gep/*, assets/gep/events.jsonl
This is a copy of a skill from another catalog; the rating counts the canonical one: capability-evolver (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 · 0
✓ No critical or high findings
Files scanned: 68. 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/* - warning
missing-refreference to a missing file: assets/gep/events.jsonl - note
frontmatter-keyunknown frontmatter key "permissions"
Process rating: all ten parameters 40/100
Will not run. References files that are not bundled: assets/gep/*, assets/gep/events.jsonl
- 0Tools and files. 2 referenced file(s) missing: assets/gep/*, 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. 7 mutating operations with no state check
- 40Consistency. Frontmatter name (capability-evolver) differs from the folder (evolver-local)
- 100Steps. 17 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Execution cost. Instruction body is 1998 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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)
- +3Output format is not stated: the model decides each time
- -314 of 14 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 132: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: suspicious
This skill is a powerful self-modifying agent tool with disclosed core goals, but it also has under-scoped automatic updates, external reporting, persistent fingerprinting, and a nonfunctional review gate that users should examine carefully before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026