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 skills add uthumany/uthy-legacy-os --skill rollout-strategygit clone --depth 1 https://github.com/uthumany/uthy-legacy-osWrote 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/uthumany/uthy-legacy-os/rollout-strategy)<a href="https://agentmods.dev/skills/uthumany/uthy-legacy-os/rollout-strategy"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/rollout-strategy/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/uthumany/uthy-legacy-os/rollout-strategy"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/rollout-strategy.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00028 | $0.00728 |
| Opus 5.5 | $0.00011 | $0.00291 |
| Sonnet 5.5 | $0.00006 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
rollout-strategy 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 2mo 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.
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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rollout Strategy
Overview
Rollout strategy is about managing risk during deployment. Instead of flipping a switch for everyone, you gradually increase exposure, monitoring for problems at each step, with a clear rollback plan if things go wrong. This skill covers feature flags, canary releases, and progressive delivery.
When to Use
- Shipping a feature with significant user impact
- Making infrastructure or architectural changes
- Introducing breaking API changes
- Releasing to users who depend on reliability
- Don't use for: trivial UI changes, content updates, or features behind an opt-in beta already
Instructions
1. Define the Rollout Phases
Phase 0: Internal — Dogfood with your own team
- Goals: Catch obvious bugs, test basic functionality
- Duration: 1-3 days
- Success criteria: No P0 bugs, team can use the feature
Phase 1: Alpha — 5-10% of users, internal only
- Goals: Validate performance, catch edge cases
- Duration: 3-7 days
- Success criteria: Error rate < 0.1%, latency within SLA
Phase 2: Beta — 25-50% of users
- Goals: Broader validation, gather feedback
- Duration: 5-14 days
- Success criteria: Error rate stable, support volume normal, feedback positive
Phase 3: GA — 100% of users
- Goals: Complete availability
- Success criteria: All metrics stable, launch criteria met
2. Choose the Mechanism
- Feature flags: Code-deployed but flag-off. Toggle based on user ID, account ID, or region
- Canary release: New version serves a subset of traffic. Gradually increase
- Shadow mode: New system runs in parallel, results compared but not served to users
- Blue/green: Two identical environments. Switch traffic when ready
3. Define Monitoring Gates
At each phase, monitor:
- Error rate: Spikes above baseline?
- Latency: P95 within SLA?
- User impact: Crash rate, support tickets?
- Business metrics: Revenue, engagement, retention changes?
- Hard rollback trigger: "If [metric] exceeds [threshold] for [duration], auto-rollback"
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.
- 2mo ago First seen · 89 lines · 28 tokens per session scan A a28ce90cdb1e
rollout-strategy is a skill published in the GitHub repository uthumany/uthy-legacy-os (5 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 728 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
rollout-strategy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rollout-strategyuthumany/uthy-legacy-os | Skill | 5 | 5mo ago | MIT | A | 28 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |