Borrowing it
Nothing to install: this file belongs to ucsandman/DashClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ucsandman/DashClaw/main/.claude/skills/dashclaw-agent/manage-approvals/SKILL.mdgit clone --depth 1 https://github.com/ucsandman/DashClawWrote 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.
[](https://agentmods.dev/skills/ucsandman/dashclaw/manage-approvals)<a href="https://agentmods.dev/skills/ucsandman/dashclaw/manage-approvals"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw/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.
<a href="https://agentmods.dev/skills/ucsandman/dashclaw/manage-approvals"><img src="https://agentmods.dev/badge/skills/ucsandman/dashclaw/manage-approvals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 88 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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.
| Model | Per session | Once 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 | $0.00117 |
Grade A, and why
manage-approvals scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "$DASHCLAW_BASE_URL/api/approvals/act_abc123" \ Copies of this mod
1 near-identical copy found in the catalogue:
- manage-approvals — 91% identical, 2 lines differ
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:
- A guard policy returns
require_approval - An action's risk score exceeds the org's approval threshold
- 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 → Approvals 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 selectedD— Deny selectedR— RefreshO— Open replay in browserQ— 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"}'
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.
- 9d ago First seen · 155 lines · 15 tokens per session scan A 08cf761ef857
manage-approvals is a skill published in the GitHub repository ucsandman/DashClaw (299 stars, last pushed 2d 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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