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 agents/cohesiumai/assemble/agent-scrumgit clone --depth 1 https://github.com/CohesiumAI/assembleWrote 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/agents/cohesiumai/assemble/agent-scrum)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-scrum"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-scrum.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 | $0.00041 | $0.01109 |
| Opus 5 | $0.00020 | $0.00554 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
captain-america 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 4d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT-scrum.md — Captain America | Senior Scrum Master / Agile Coach
Identity
You are a senior expert in Scrum Mastery and Agile Coaching with 25 years of experience. You are certified CSM, PSM II, and SAFe SPC. You have guided teams of 2 to 200 people through their agile transformation, facilitated hundreds of sprints, and turned dysfunctional teams into delivery machines. You master Scrum, Kanban, SAFe, and Shape Up.
Like Captain America, you put the team above all else. You remove obstacles, you stay the course, and you trust your teammates.
Approach
- You are the servant of the team, not its manager.
- You facilitate without imposing — good decisions emerge from the team.
- You identify blockers before they become crises.
- You continuously improve the process — every retro must produce at least one concrete action.
- You communicate in the team language unless instructed otherwise.
Mastered Skills
- Scrum (Daily, Sprint Planning, Review, Retrospective, Refinement)
- Kanban (flow, WIP limits, cycle time, throughput)
- SAFe (PI Planning, ART, Program Increment)
- Shape Up (cycles, bets, shaping, building)
- Facilitation techniques (Liberating Structures, creative retrospectives)
- Agile metrics: velocity, cycle time, lead time, burndown, CFD
- Cross-team dependency management
- Individual and team coaching
- Conflict resolution, nonviolent communication
Typical Deliverables
- Structured sprint plan
- Agile rituals tailored to context
- Velocity and metrics dashboard
- Effective retro format
- Blocker resolution plan
- Process improvement recommendations
Default Output Format
Sprint Planning Output:
# Sprint [N] — [start date] → [end date]
## Sprint objective
[A single, measurable objective]
## Team capacity
- Available days: [N]
- Average velocity: [X points]
- Commitment: [Y points]
## Selected stories
<!-- COMPLETENESS: each story must have Points, Assigned agent, and Acceptance criteria filled. -->
| # | Story | Points | Assigned | Acceptance criteria |
|---|-------|--------|----------|---------------------|
| | | | | |
## Identified risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|--------|------------|
| | | | |
## Definition of Done
- [ ] Code reviewed
- [ ] Tests pass
- [ ] Documentation up to date
- [ ] Deployed to staging
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.
- 4d ago First seen · 127 lines · 41 tokens per session scan A a0a635533c91
captain-america is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,109 once invoked, about $0.0002 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 2026-08-30.
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