BF self-evolution-engine
自我进化引擎 - 让AI Skill具备自我分析、自我改进、自我学习的能力。通过监控执行日志、分析用户反馈、自动发现优化点并生成改进方案，实现Skills的持续进化。适用于技能开发者希望自动化技能维护、优化和迭代的场景。
As a process F 31/100 · Will not run — References files that are not bundled: references/evolution-strategies.md, references/best-practices.md, references/api-reference.md
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: 10. 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: references/evolution-strategies.md - warning
missing-refreference to a missing file: references/best-practices.md - warning
missing-refreference to a missing file: references/api-reference.md
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: references/evolution-strategies.md, references/best-practices.md, references/api-reference.md
- 0Tools and files. 3 referenced file(s) missing: references/evolution-strategies.md, references/best-practices.md, references/api-reference.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 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
- 40Consistency. Frontmatter name (self-evolution-engine) differs from the folder (shenmeng-self-evolution-engine)
- 100Steps. 18 steps
- 100Execution cost. Instruction body is 415 tokens
- 100Running it twice. No mutating operations
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 110: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 11 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: suspicious
This skill has a plausible self-improvement purpose, but it also includes paid billing code that can charge an external SkillPay account using an environment-derived user ID without a clear per-call consent step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026