BF self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. 核心能力: - 智能代理领域的专业化AI辅助工具 - 基于高人气开源Skill深度优化升级 - 移除风险代码,增强安全性和稳定性 适用场景: - AI代理增强、记忆管理、自主决策 - 独立开发者与一人公司效率提升 - 自动化工作流与智能决策辅助 差异化:经过深度优化,去除原始风险代码,清理外部依赖引用,增强元数据和触发关键词,完全适配SkillHub平台规范。 触发关键词: corrections, self-improving, errors, enable, self, agent, learnings, improving
As a process F 39/100 · Will not run — References files that are not bundled: references/skill-platform-integration.md, references/hooks-setup.md, scripts/activator.sh
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.
- 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: 2. 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/skill-platform-integration.md - warning
missing-refreference to a missing file: references/hooks-setup.md - warning
missing-refreference to a missing file: scripts/activator.sh - warning
missing-refreference to a missing file: scripts/error-detector.sh - warning
missing-refreference to a missing file: assets/SKILL-TEMPLATE.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "tools"
Process rating: all ten parameters 39/100
- 0Tools and files. 5 referenced file(s) missing: references/skill-platform-integration.md, references/hooks-setup.md, scripts/activator.sh
- 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
- 40Consistency. Frontmatter name (self-improvement) differs from the folder (self-improving-agent)
- 70Execution cost. Instruction body is 4732 tokens
- 85Steps. 112 steps, 1 vague phrases
- 100Failures and branches. 1 branches, has a failure section
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- low 19 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
- +2Single-language instructions
- +3Description length 355: enough signal without eating the budget
- +4Structure: 50 headings
- +3Step-by-step instructions: 112 items
- +4Has examples (15 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.