SKILLEMALL.ai

AD feishu-ops

飞书(Feishu/Lark)文档与消息操作技能。When to use: 用户要求创建、删除、修改飞书文档;查询或更新文档中指定行/列的数据;向飞书联系人或群聊发送消息。Triggers: "创建飞书文档"、"删除文档"、"修改文档内容"、"更新第X行第Y列"、"查询文档"、"发送飞书消息"、"发消息给群"。

ClawHub Agent Skills author: hellostar999 v1.0.0 MIT-0 15 files body ≈ 609 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
97
Quality 40%
90
Run on models
none yet
Process rating
D
46/100
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

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token scripts/test_blocks.py:4
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      token = 't-g1…WYS'
      fixturequoted
    • low Secrets in code secret-high-entropy-token scripts/test_blocks2.py:4
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      token = 't-g1…WYS'
      fixturequoted
    • low Secrets in code secret-high-entropy-token scripts/write_news.py:4
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      token = 't-g1…WYS'
      quoted

    Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 46/100

    • 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. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (feishu-ops) differs from the folder (feishu-bot1)
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Execution cost. Instruction body is 609 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -39 of 11 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 156: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This Feishu skill has legitimate document and messaging features, but it bundles extra scripts that can use hardcoded tokens, chats, local Desktop files, and live Feishu writes beyond clear user-directed control.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026