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.
npx agentmods add skills/holymonkey/youtube-example-ai-studio/team-releasenpx skills add HolyMonkey/youtube-example-ai-studio --skill team-releasegit clone --depth 1 https://github.com/HolyMonkey/youtube-example-ai-studioWrote 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/holymonkey/youtube-example-ai-studio/team-release)<a href="https://agentmods.dev/skills/holymonkey/youtube-example-ai-studio/team-release"><img src="https://agentmods.dev/badge/skills/holymonkey/youtube-example-ai-studio/team-release.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00034 | $0.00857 |
| Opus 5 | $0.00017 | $0.00428 |
| Sonnet 5 | $0.00007 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
team-release scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to team-release — 0 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When this skill is invoked, orchestrate the release team through a structured pipeline.
Decision Points: At each phase transition, use AskUserQuestion to present
the user with the subagent's proposals as selectable options. Write the agent's
full analysis in conversation, then capture the decision with concise labels.
The user must approve before moving to the next phase.
Team Composition
- release-manager — Release branch, versioning, changelog, deployment
- qa-lead — Test sign-off, regression suite, release quality gate
- devops-engineer — Build pipeline, artifacts, deployment automation
- producer — Go/no-go decision, stakeholder communication, scheduling
How to Delegate
Use the Task tool to spawn each team member as a subagent:
subagent_type: release-manager— Release branch, versioning, changelog, deploymentsubagent_type: qa-lead— Test sign-off, regression suite, release quality gatesubagent_type: devops-engineer— Build pipeline, artifacts, deployment automationsubagent_type: producer— Go/no-go decision, stakeholder communication
Always provide full context in each agent's prompt (version number, milestone status, known issues). Launch independent agents in parallel where the pipeline allows it (e.g., Phase 3 agents can run simultaneously).
Pipeline
Phase 1: Release Planning
Delegate to producer:
- Confirm all milestone acceptance criteria are met
- Identify any scope items deferred from this release
- Set the target release date and communicate to team
- Output: release authorization with scope confirmation
Phase 2: Release Candidate
Delegate to release-manager:
- Cut release branch from the agreed commit
- Bump version numbers in all relevant files
- Generate the release checklist using
/release-checklist - Freeze the branch — no feature changes, bug fixes only
- Output: release branch name and checklist
Phase 3: Quality Gate (parallel)
Delegate in parallel:
- qa-lead: Execute full regression test suite. Test all critical paths. Verify no S1/S2 bugs. Sign off on quality.
- devops-engineer: Build release artifacts for all target platforms. Verify builds are clean and reproducible. Run automated tests in CI.
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.
- yesterday First seen · 82 lines · 34 tokens per session scan A dd8ccc92195c
team-release is a skill published in the GitHub repository HolyMonkey/youtube-example-ai-studio (11 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 857 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to team-release, differing in 0 lines, and is treated as a copy.
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