larkcowork/lark-cowork-plugins/approval-triage

Claude Code and agent skill by larkcowork/lark-cowork-plugins

Trust tier 3
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Source check pending

Checking that the SKILL.md file is still in the repository.

Triage pending Lark Approval queue — recommend approve/reject/ask-more per item with policy citation. Triggers "approval pending", "duyệt expense", "queue duyệt", "có gì cần duyệt".

Install

npx vskill@latest install larkcowork/lark-cowork-plugins/approval-triage

SKILL.md

approval-triage

"8 approvals pending, 5 min each" → "1 batch review, 30 seconds." Agent reads; user decides.

Verbs: raw approval exposes only instances/tasks subgroups — NO +list/+get/+approve/+reject shortcut. Use the atomic lark-approval skill (wraps the API). Workflow below is conceptual flow; call the atomic skill, not raw bash. docs +search (for policy docs) takes --query + --filter JSON, no --type flag; needs search:docs:read scope. Atomic shapes + token flags: connectors/LARK-RECIPES.md.

Workflow

  1. Read memory. do-not.md, policies.md (thresholds/categories),

team-roster.md (requester level + manager line), delegation-rules.md (exec — financial thresholds).

  1. List pending via atomic lark-approval skill: `list-pending

--assignee me`.

  1. Per approval, fetch detail (parallel ~5) via atomic skill:

get-instance <id> → requester, type, amount, reason, attachments.

  1. Cross-check policy. Look up rule in policies.md (or

docs +search --query "<policy keyword>" --jq '.data' to find the doc — peek the shape, don't guess nested paths); compare requester pattern + amount vs delegation-rules.md threshold.

  1. Recommend per item:
  • ✅ APPROVE — within policy, clean history, valid category,

below auto-decide threshold.

  • ⚠️ NEEDS CHECK — 10-20% over threshold, unusual pattern,

missing context.

  • ❌ REJECT — clear policy violation, over hard limit, abuse pattern.
  1. Format batch report — APPROVE list (batch-approvable) / NEEDS

CHECK (concern + link) / REJECT (policy reason) + action checklist.

  1. On confirm "approve lô N" — iterate approved batch via atomic

skill approve <id> --comment "..." per item. Each triggers pre-mutate.sh → audit log.

Hard rules

  1. Never auto-approve without explicit confirm (do-not.md §4).
  2. Show rationale for every recommendation.
  3. Batch ≤10 per confirm — split if more.
  4. Each rationale cites a §N from policies.md (or "policy unclear").
  5. Reject comment always includes reason + how to fix.
  6. Audit every approve/reject (automatic via hook).
  7. Refuse if user lacks approval authority (verify via team-roster.md).

Edge cases

  • No policy in memory → "needs check" for all amount-based decisions.
  • Approval expired while reviewing → surface + skip.
  • Self-approval → refuse (policy violation).
  • Threshold > user authority → route to manager (team-roster.md).

Memory

Required: policies.md, team-roster.md. Recommended: delegation-rules.md (exec), incident-log.md.

Cadence

Morning brief: count + top 3 by amount. On-demand: full triage. Friday 16h: reminder if backlog >5.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1
Repository forks
10
7-day trend score
8

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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