manage-approvals

manage-approvals is a skill for Claude Code, Codex from ucsandman/dashclaw-skills. It costs 15 tokens per session (1,172 once invoked), scanned A, a copy of manage-approvals, MIT.

A guide for human approval workflows in DashClaw, a system that pauses risky AI-agent actions for review. Operators can approve or deny requests in a dashboard, command-line tool, or SDK polling flow.

In plain words
What is it for?
Use it to inspect pending requests, review risk and affected systems, approve or deny actions, add reasons, and wait for the decision in an agent workflow.
Why use it?
It prevents actions that require review from running before an authorised person has decided what to do.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to inspect pending requests, review risk and affected systems, approve or deny actions, add reasons, and wait for the decision in an agent workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ucsandman/dashclaw-skills/manage-approvals
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ucsandman/dashclaw-skills --skill manage-approvals
Clone the repo
git clone --depth 1 https://github.com/ucsandman/dashclaw-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for manage-approvals

README.md
[![agentmods](https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/manage-approvals/github.svg)](https://agentmods.dev/skills/ucsandman/dashclaw-skills/manage-approvals)
Your own site
<a href="https://agentmods.dev/skills/ucsandman/dashclaw-skills/manage-approvals"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/manage-approvals/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for manage-approvals

Your own site · 80×15
<a href="https://agentmods.dev/skills/ucsandman/dashclaw-skills/manage-approvals"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw-skills/manage-approvals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,172 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.01172
Opus 5 $0.00008 $0.00586
Sonnet 5 $0.00003 $0.00234
Haiku 4.5 $0.00002 $0.00117

Measured 11d ago against content hash 4bd20b1a40b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

manage-approvals scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "$DASHCLAW_BASE_URL/api/approvals/act_abc123" \
Origin

This is a copy

91% identical to manage-approvals — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/manage-approvals/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manage Approvals

DashClaw's HITL (Human-in-the-Loop) system lets operators approve or deny agent actions before they execute. Three channels: dashboard, CLI, and SDK polling.

When Approvals Trigger

Approvals are triggered when:

  1. A guard policy returns require_approval
  2. An action's risk score exceeds the org's approval threshold
  3. The action touches systems flagged for mandatory review

The action enters pending_approval status and the agent waits.

Approval Channels

1. Dashboard (Web UI)

Navigate to the DashClaw dashboard → Mission Control or Decisions view. Pending approvals show with:

  • Action type and declared goal
  • Agent ID
  • Risk score (color-coded)
  • Systems touched
  • Replay link for full decision context

Click Approve or Deny with optional reasoning.

2. CLI (Terminal)

# Interactive inbox — live updates via SSE
dashclaw approvals

# Direct approve/deny
dashclaw approve act_abc123 --reason "Reviewed deployment plan"
dashclaw deny act_abc123 --reason "Missing staging verification"

The interactive inbox (dashclaw approvals) uses SSE for real-time push notifications. New approval requests appear immediately without polling.

Keyboard shortcuts:

  • A — Approve selected
  • D — Deny selected
  • R — Refresh
  • O — Open replay in browser
  • Q — Quit

3. SDK Polling (Agent-Side)

// Agent waits for approval after guard returns require_approval
try {
  await claw.waitForApproval(decision.action_id, {
    timeout: 300000  // 5 minutes
  });
  console.log('Approved — proceeding');
} catch (err) {
  if (err instanceof ApprovalDeniedError) {
    console.log('Denied:', err.message);
    return;
  }
  throw err;
}
try:
    claw.wait_for_approval(decision["action_id"], timeout=300000)
    print("Approved — proceeding")
except ApprovalDeniedError as e:
    print(f"Denied: {e}")
    return

4. API Direct

# Approve
curl -X POST "$DASHCLAW_BASE_URL/api/approvals/act_abc123" \
  -H "x-api-key: $DASHCLAW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"decision": "approved", "reasoning": "Reviewed and safe"}'

# Deny
curl -X POST "$DASHCLAW_BASE_URL/api/approvals/act_abc123" \
  -H "x-api-key: $DASHCLAW_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"decision": "denied", "reasoning": "Risk too high"}'

Read the full file on GitHub · 155 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 155 lines · 15 tokens per session scan A 4bd20b1a40b2

Subscribe to this mod's changes

manage-approvals is a skill published in the GitHub repository ucsandman/dashclaw-skills (2 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 1,172 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to manage-approvals, differing in 2 lines, and is treated as a copy.

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