AF wechat-formatter
Convert uploaded .doc/.docx files or pasted text into WeChat article markdown using the "谓无名" editor syntax. Use when the user uploads Word documents, pastes article text, asks to format for WeChat, add syntax markers, 排版文章, or convert academic/articles into the custom WeChat editor markdown. The skill preserves source content, extracts Word structure, and produces editor-ready markdown without inventing missing information or image URLs.
Convert uploaded .doc/.docx files or pasted text into WeChat article markdown using the "谓无名" editor syntax. Use when the user uploads Word documents, pastes…
As a process F 42/100 · Will not run — References files that are not bundled: ...
How to improve
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ... - note
edit-residuethe text marks something as outdated (lines 142): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 42/100
- 0Tools and files. 1 referenced file(s) missing: ...
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (wechat-formatter) differs from the folder (weiwuming-formatter)
- 60Steps. 108 steps, 6 vague phrases
- 70Execution cost. Instruction body is 4005 tokens
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 1 branches, has a failure section
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (12 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
- +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
- +1No license
- +2Single-language instructions
- +3Description length 442: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 108 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.