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.
git clone --depth 1 https://github.com/kelegele/oh-my-pmWrote 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/commands/kelegele/oh-my-pm/feature-launch)<a href="https://agentmods.dev/commands/kelegele/oh-my-pm/feature-launch"><img src="https://agentmods.dev/badge/commands/kelegele/oh-my-pm/feature-launch/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/commands/kelegele/oh-my-pm/feature-launch"><img src="https://agentmods.dev/badge/commands/kelegele/oh-my-pm/feature-launch.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 | $0.00015 | $0.00181 |
| Opus 5 | $0.00008 | $0.00090 |
| Sonnet 5 | $0.00003 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
feature-launch 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 8d 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.
What it actually says
Feature Launch Workflow
Ship features successfully from PRD to post-launch analysis.
What This Does
Orchestrates the end-to-end feature launch:
- Stage 1 (Design): PRD finalization, prototype validation
- Stage 2 (Prepare): Requirement review, project planning
- Stage 3 (Release): Release management and deployment
- Stage 4 (Validate): Impact analysis, feedback synthesis
Usage
/feature-launch "user onboarding flow"/ompm feature-launch "checkout redesign" 2026-04-15
Execution
This command activates the feature-launch workflow skill.
Your input: $ARGUMENTS
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.
- 8d ago First seen · 29 lines · 15 tokens per session scan A 6bf5c2987b77
feature-launch is a command published in the GitHub repository kelegele/oh-my-pm (4 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 181 once invoked, about $0.0001 per session on Opus 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.
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coding-audit
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tax-review
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voice-compliance
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standup
Show a daily standup summary with completed, in-progress, and blocked tasks across all active epics.