BC openclaw-ultimate-suite
OpenClaw 终极技能整合套件 - 29 个技能一站式整合 × 61 个专业 Agent × 安全内置 × 自动激活 × 飞书集成。晴晴超级版：办公效率 + 生活助手 + 社交媒体 + 信息收集 + AI 代理 + 安全守护。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureGitHubPlaywrightAI and agentstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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
✓ Guard found no suspicious behaviour. 1 matches are attack strings quoted in this security skill's own documentation.
Files scanned: 23. 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")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 847 tokens
- 100Running it twice. No mutating operations
- low 11 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)
- +3Description length 115: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -225 emoji in the instructions: noise for the model
- -411 reference files, but SKILL.md never points to them: the model will not open them
- -33 of 3 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Structure: 33 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (5 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.
External checks
ClawHub: suspicious
This skill bundle is broadly useful but combines account automation, external data sharing, workspace mutation, and background recovery with insufficient limits and user controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026