Borrowing it
Nothing to install: this file belongs to aget-framework/aget. 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/aget-framework/aget/main/.claude/skills/aget-run-playbook/SKILL.mdgit clone --depth 1 https://github.com/aget-framework/agetWrote 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/aget-framework/aget/aget-run-playbook)<a href="https://agentmods.dev/skills/aget-framework/aget/aget-run-playbook"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-run-playbook/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/aget-framework/aget/aget-run-playbook"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-run-playbook.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 Excessive Agency · line 109 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00011 | $0.00574 |
| Opus 5 | $0.00005 | $0.00287 |
| Sonnet 5 | $0.00002 | $0.00115 |
| Haiku 4.5 | $0.00001 | $0.00057 |
Grade A, and why
aget-run-playbook 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 10d 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.
verify: curl -s localhost:8080/health How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aget-run-playbook
Execute runbooks for deployment, rollback, and operational scenarios. Provides step-by-step execution with verification checkpoints.
Instructions
When this skill is invoked:
-
Validate Playbook
- Verify playbook exists
- Parse steps and parameters
- Check prerequisites
-
Confirm Execution
- Display playbook summary
- Get user confirmation
- Note parameters
-
Execute Steps
- Run sequentially
- Verify each step
- Log all actions
-
Handle Failures
- Stop on failure
- Offer rollback options
- Document state
-
Complete
- Verify final state
- Generate execution log
- Report outcome
Output Format
## Playbook Execution: [Name]
### Configuration
| Parameter | Value |
|-----------|-------|
| Playbook | [Path/Name] |
| Started | [Timestamp] |
| Parameters | [List] |
---
### Execution Log
| Step | Action | Status | Duration |
|------|--------|--------|----------|
| 1 | [Description] | [Pass/Fail] | [Xs] |
| 2 | [Description] | [Pass/Fail] | [Xs] |
---
### Current Status
**Status**: [Running/Complete/Failed]
**Progress**: [N]/[Total] steps
---
### Output
[Command output for current/last step]
---
### Rollback Options (if failed)
1. [Rollback step 1]
2. [Rollback step 2]
Playbook Format
# playbooks/deploy.yaml
name: Deploy Application
steps:
- name: Backup current version
command: ./scripts/backup.sh
verify: test -f backups/latest.tar.gz
- name: Deploy new version
command: ./scripts/deploy.sh
verify: curl -s localhost:8080/health
rollback:
- ./scripts/restore.sh
Constraints
- C1: NEVER execute playbooks without user confirmation — operational actions require authorization
- C2: NEVER skip verification steps — verification ensures state correctness
- C3: NEVER proceed after failure without explicit override — failures may indicate unsafe state
Related
- SKILL-028: aget-run-playbook specification
- ONTOLOGY_operator.yaml: Runbook, Deployment, Rollback concepts
- CAP-OPS-002: Playbook Execution capability
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.
- 10d ago First seen · 117 lines · 11 tokens per session scan A 91076175995f
aget-run-playbook is a skill published in the GitHub repository aget-framework/aget (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 11 tokens to every session and 574 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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