SKILLEMALL.ai

AD doc-generator

从源代码自动生成 API 文档、技术文档,支持输出到飞书云文档。包含代码注释提取、 中文文档模板、OpenAPI 规范生成等功能。 **触发场景**: - 用户要求"生成文档"、"写 API 文档"、"自动生成文档" - 需要从代码提取注释生成文档 - 需要输出文档到飞书 - 用户提到"API 文档"、"接口文档"、"技术文档"

ClawHub Agent Skills author: Narain v1.0.0 MIT-0 3 files body ≈ 1 325 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (doc-generator) differs from the folder (oc-doc-generator)
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 100Steps. 30 steps
  • 100Execution cost. Instruction body is 1325 tokens
  • low The response is described with custom markup (6 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 166: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (15 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This appears to be a straightforward documentation generator that reads selected source code and can save or export generated docs, with no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026