SKILLEMALL.ai
GitHub ↗ RU Sign in

BD operation-daily-report-claw

运营数据日报虾 — 自动化多平台运营数据采集与日报生成。从抖音、小红书、视频号、B站、微博等平台采集数据，清洗标准化后生成结构化日报，并推送到飞书文档/群聊。 **当以下情况时使用此 Skill**： (1) 需要汇总多个内容平台（抖音/小红书/视频号/B站/微博）的运营数据 (2) 需要生成运营日报、周报、月报 (3) 需要设置定时自动日报推送到飞书群 (4) 需要检测异常数据（播放量暴跌、涨粉异常、互动率异常等）并预警 (5) 用户提到"生成日报"、"运营数据"、"平台数据"、"数据汇总"、"自动日报"、"数据统计"、"播放量"、"涨粉数"、"互动数据"、"定时报表"

ClawHub Agent Skills author: Ricky v1.0.0 MIT-0 7 files · 1 script body ≈ 448 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

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

ProcedureData and analyticsInfrastructuretype 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
B
84/100
safety, quality, tests
Safety 60%
88
Quality 40%
79
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-credential-use scripts/fetch-platform-data.sh:131
    Credential used in a network call (verify the destination is the intended service)
    token_resp=$(curl -sf "https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=…&corpsecret=…" || echo '{}')
  • medium Exfiltration net-credential-use scripts/fetch-platform-data.sh:141
    Credential used in a network call (verify the destination is the intended service)
    response=$(curl -sf "https://api.weixin.qq.com/datacube/getweanalysisappiddailysummarytrend?access_token=…" \
  • low Exfiltration exfil-secret-in-url scripts/fetch-platform-data.sh:131
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    token_resp=$(curl -sf "https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=…&corpsecret=…" || echo '{}')
    placeholder
  • low Exfiltration exfil-secret-in-url scripts/fetch-platform-data.sh:141
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    response=$(curl -sf "https://api.weixin.qq.com/datacube/getweanalysisappiddailysummarytrend?access_token=…" \
    placeholder

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")

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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 448 tokens
  • 100Running it twice. No mutating operations

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 290: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a coherent operations reporting skill, but it handles platform credentials and can store or share business metrics, so users should configure it carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026