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AC feishu-send-file

飞书发送文件技能。用于通过飞书向用户发送普通文件附件（HTML、ZIP、PDF、代码文件等）以及处理“本地图片路径被发成路径文本”的可靠补救场景。普通文件必须先上传获取 `file_key` 再发送；当本地图片用 `message`/`media` 发送后在飞书里只显示 `/root/...png` 路径而不显示图片时，改用本技能内的稳定图片上传脚本（`im/v1/images` -> `image_key` -> `msg_type=image`）。

ClawHub Agent Skills author: dadaniya99 v1.2.1 MIT-0 5 files body ≈ 864 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

飞书发送文件技能。用于通过飞书向用户发送普通文件附件（HTML、ZIP、PDF、代码文件等）以及处理“本地图片路径被发成路径文本”的可靠补救场景。普通文件必须先上传获取 filekey 再发送；当本地图片用 message/media 发送后在飞书里只显示 /root/...png…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
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: 5. 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 51/100

  • 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. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 864 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 228: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (9 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is mostly aligned with sending files and images through Feishu, but it handles application secrets and shell commands in ways that could expose credentials or run unintended commands.
LLM: suspicious (high) · VirusTotal: benign · 11 Sept 2026