BD skillsbench-evaluator
Skill 质量测评工具，基于 SkillsBench 方法论对 Agent Skills 进行静态文档分析。评估 Skill 的触发准确性、文档质量、结构完整性等维度。当用户需要 (1) 测评某个 Skill 的文档质量 (2) 评估 Skill 的 description 设计 (3) 生成 Skill 测评报告 (4) 对比多个 Skill 的文档规范性时使用此 skill。触发词：测评 评估 评测 文档检查 skill quality skill 评分 规范检查。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.
Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
-
medium Obfuscation
uni-zero-widthreferences/dynamic-testing-guide.md:139Zero-width / invisible characters (possible hidden text) (6 occurrences) (test fixture / example file)␀```bash
fixture
Files scanned: 5. 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 49/100
- 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
- 40Consistency. Frontmatter name (skillsbench-evaluator) differs from the folder (skill-ce-shi)
- 100Tools and files. No external tools needed
- 100Steps. 122 steps
- 100Execution cost. Instruction body is 1593 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -244 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 238: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 122 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.