captain-america

captain-america is an agent for coding agents from CohesiumAI/assemble. It costs 41 tokens per session (1,109 once invoked), scanned A, original, MIT.

A Scrum Master and Agile coaching assistant for structuring teamwork and improving how a software team works.

In plain words
What is it for?
It is for facilitating sprints, Kanban work, retrospectives, planning sessions, and other team ceremonies.
Why use it?
It helps teams identify blockers, run regular planning and review meetings, and turn process problems into concrete improvements.

Agent

Install

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.

agentmods
npx agentmods add agents/cohesiumai/assemble/agent-scrum
Clone the repo
git clone --depth 1 https://github.com/CohesiumAI/assemble

Wrote 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.

agentmods badge for captain-america

README.md
[![agentmods](https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-scrum.svg)](https://agentmods.dev/agents/cohesiumai/assemble/agent-scrum)
Your own site
<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>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,109 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash a0a635533c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

src/agents/AGENT-scrum.md · 127 lines

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

Read the full file on GitHub · 127 lines

Changes

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.

  1. 4d ago First seen · 127 lines · 41 tokens per session scan A a0a635533c91

Subscribe to this mod's changes

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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