SKILLEMALL.ai

AF dida-agent-optimizer

Agent 自愈引擎 — 自动诊断和修复 OpenClaw 执行问题(Cron 失败、工具报错、工作流中断、性能退化),自带持续自我进化能力。 Use when user asks to 系统诊断、修复 cron、优化配置、检查系统健康度、自愈修复、诊断失败原因、修复任务失败、优化师自我更新. 不适用于业务逻辑问题排查、飞书内容编辑、数据查询类任务.

ClawHub Agent Skills author: tuobadaidai v1.1.0 MIT-0 8 files body ≈ 1 484 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 37/100 · Will not run — References files that are not bundled: references/scripts/self-update.sh

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: references/scripts/self-update.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/scripts/self-update.sh

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: references/scripts/self-update.sh
  • 0Tools and files. 1 referenced file(s) missing: references/scripts/self-update.sh
  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1484 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 176: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This is a real OpenClaw troubleshooting skill, but it gives an agent broad repair authority and includes ongoing self-update and cleanup workflows that need review before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026