SKILLEMALL.ai

CF feishu-doc-publisher

将 Markdown 文件发布为飞书(Feishu/Lark)在线文档。 支持完整的 Markdown 语法,独创表格列宽智能自适应算法,完美呈现复杂富文本,并支持互联网公开分享。 配置说明:运行前请确保在环境变量或工作区 `.env` 文件中配置 `FEISHU_APP_ID` 和 `FEISHU_APP_SECRET`。还可配置 `FEISHU_ADMIN`(邮箱或 OpenID) 以实现发布后全自动将文档所有权移交给您的个人账号。

ClawHub Agent Skills author: happyphper v2.0.1 MIT-0 7 files · 3 scripts body ≈ 830 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

将 Markdown 文件发布为飞书(Feishu/Lark)在线文档。 支持完整的 Markdown 语法,独创表格列宽智能自适应算法,完美呈现复杂富文本,并支持互联网公开分享。 配置说明:运行前请确保在环境变量或工作区 .env 文件中配置 FEISHUAPPID 和 FEISHUAPPSECRET。还可配置…

As a process F 33/100 · No process to follow — References files that are not bundled: url

ProcedureWordSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 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. 3 mutating operations with no state check
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 830 tokens

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
  • -214 emoji in the instructions: noise for the model
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 221: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
The skill matches its Feishu publishing purpose, but it needs review because it can automatically read broad credential files and may upload unintended local files through Markdown image references.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026