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BF agentic-payment-daily

Generate and deliver daily Agentic Payment news briefing for Visa Greater China VIC lead. Covers Visa dynamics, China/APAC market, competitor protocols, and regulatory signals. Use when setting up, editing, or debugging the daily cron job, or when asked to generate an Agentic Payment daily report. Triggers: agentic payment daily, 日报, AP日报, agentic payment report.

ClawHub Agent Skills author: juncaijames v1.0.0 MIT-0 4 files body ≈ 736 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 33/100 · Will not run — References files that are not bundled: url

GeneratorObsidianAI and agentstype 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
86/100
safety, quality, tests
Safety 60%
98
Quality 40%
67
Run on models
none yet
Process rating
F
33/100
Will not run
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

The same skill appears in 1 more place: ClawHub

How to improve

  1. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token SKILL.md:65
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    1. Send PDF as document via `message` tool: `action: send`, `channel: openclaw-weixin`, `target: o9…@….wechat`, `accountId: 26eb…bot`, `media: /tmp/Agentic Payment
    detector
  • low Secrets in code secret-high-entropy-token SKILL.md:81
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    步骤C：微信推送 PDF（channel: openclaw-weixin, target: o9…@….wechat, accountId: 26eb…bot）→ echo "STEP C DONE"
    detector

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Generate and deliver daily Agentic Payment news briefing for Visa … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (agentic-payment-daily) differs from the folder (ap-daily-report)
  • 55Failures and branches. 1 branches
  • 100Steps. 13 steps
  • 100Execution cost. Instruction body is 736 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 365: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill does what it advertises, but it hard-codes local file writes, daily automation, and sending a business PDF to a specific WeChat recipient without a confirmation step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026