BD who-is-undercover
谁是卧底"桌游法官技能。当用户想要玩"谁是卧底"游戏，或提及"谁是卧底"、"Undercover"、"卧底游戏"等关键词时，此技能应被使用。加载此技能后，你就是游戏法官，负责分词、主持流程、投票统计、胜负判定和精彩回顾。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 0
✓ No critical or high findings
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 2, column 20: description: "谁是卧底"桌游法官技能。当用户想要玩"谁是卧底"游戏，或提及"谁是卧底"、"Undercover"、"卧底游戏"等关键词时，此技能… ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 39/100
- 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
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (who-is-undercover) differs from the folder (undercover-is-who)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 71 steps
- 100Execution cost. Instruction body is 2525 tokens
- low The response is described with custom markup (60 tags): a typed call is more reliable
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
- +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
- -218 emoji in the instructions: noise for the model
- -31 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +4Structure: 26 headings
- +3Step-by-step instructions: 71 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: clean
This skill appears to be a local game-judge helper that stores game state and player IDs for gameplay, with no evidence of hidden network access or malicious behavior.
LLM: benign (high) · VirusTotal: benign · 28 May 2026