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BF automate-feishu-invoice-approval

Scaffold, configure, validate, run, and maintain a Feishu/Lark invoice approval bot that uses Codex vision, validates buyer headers, auto-selects the closest expense category, drafts the approval reason, sends an interactive confirmation card, and submits only after the original uploader confirms. Use for building or troubleshooting Feishu invoice-to-approval workflows, approval form mappings, dry-run tests, card callbacks, and duplicate protection.

ClawHub Agent Skills author: Haorui Wu v1.0.2 MIT-0 27 files body ≈ 898 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Scaffold, configure, validate, run, and maintain a Feishu/Lark invoice approval bot that uses Codex vision, validates buyer headers, auto-selects the closest…

As a process F 41/100 · Will not run — References files that are not bundled: references/setup.md, references/operations.md, scripts/setup-lark.sh

AnalyzerFinancetype 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%
95
Quality 40%
72
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: references/setup.md, references/operations.md, scripts/setup-lark.sh
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

What is at stake

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

Broad scope 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 skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash Glob Grep

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/setup.md
  • warning missing-ref reference to a missing file: references/operations.md
  • warning missing-ref reference to a missing file: scripts/setup-lark.sh
  • warning missing-ref reference to a missing file: scripts/run.sh
  • warning missing-ref reference to a missing file: scripts/scaffold.py
  • warning missing-ref reference to a missing file: assets/template/

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: references/setup.md, references/operations.md, scripts/setup-lark.sh
  • 0Tools and files. 6 referenced file(s) missing: references/setup.md, references/operations.md, scripts/setup-lark.sh
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 898 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 453: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed Feishu/Lark invoice approval bot scaffold with meaningful approval gates, dry-run defaults, and documented handling of sensitive invoice data.
LLM: benign (high) · VirusTotal: · 30 Jul 2026