AB wechat-auto-publishing-complete
Use this skill to fully reproduce and operate a local end-to-end WeChat Official Account publishing workflow: prepare the environment, validate dependencies, configure non-sensitive placeholders for credentials, gather source material, draft articles, prepare cover and body images, assemble a WeChat-ready Markdown package, publish to draft, optionally submit for formal publication, poll status, archive outputs, and attach scheduling or alerting. Use whenever the user wants a complete reproducible公众号自动发文 skill with environment setup, templates, runbooks, and execution scaffolding, while keeping all secrets and personal account details outside the skill package. Key real-world findings: freepublish does not always behave like manual platform publishing for homepage visibility, production mode should often default to draft-only, image files must be validated by real format rather than extension alone, and multi-account deployments should use isolated directories.
As a process B 68/100 · Nearly there — weak spots: result and completion, consistency, running it twice
How to improve
- 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: 22. 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: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Use this skill to fully reproduce and operate a local end-to-end W… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 68/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 28 mutating operations with no state check
- 40Consistency. Frontmatter name (wechat-auto-publishing-complete) differs from the folder (wechat-auto-publishing)
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 81 steps
- 100Execution cost. Instruction body is 2235 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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)
- +3Description length 974: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 29 headings
- +3Step-by-step instructions: 81 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.