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 brain-bootstrap/claude-code-brain-bootstrap --skill squad-plangit clone --depth 1 https://github.com/brain-bootstrap/claude-code-brain-bootstrapWrote 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/brain-bootstrap/claude-code-brain-bootstrap/squad-plan)<a href="https://agentmods.dev/skills/brain-bootstrap/claude-code-brain-bootstrap/squad-plan"><img src="https://agentmods.dev/badge/skills/brain-bootstrap/claude-code-brain-bootstrap/squad-plan/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/brain-bootstrap/claude-code-brain-bootstrap/squad-plan"><img src="https://agentmods.dev/badge/skills/brain-bootstrap/claude-code-brain-bootstrap/squad-plan.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 | $0.00047 | $0.00616 |
| Opus 5.5 | $0.00019 | $0.00246 |
| Sonnet 5.5 | $0.00009 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
squad-plan 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 1mo 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Squad Plan Skill
Generate a detailed parallel execution plan for multi-agent work on a complex feature.
When to Use
- Task touches ≥3 independent components/files
- Components don't share mutable state during the task
- Estimated single-agent time > 15 minutes
- Each subtask can own a distinct file set (no overlap)
Protocol
Phase 1: Analyze the Task
- Read
CLAUDE.mdandclaude/architecture.mdfor project context - Break down the task into independent subtasks
- Identify natural parallelism boundaries (frontend/backend, services, features, layers)
- Map dependencies — what must complete before something else starts
- Identify shared resources requiring coordination (DB schemas, API contracts, shared types)
Phase 2: Design Workstreams (2-5 workstreams)
For each workstream:
- Workstream ID & Title — e.g., "WS1: API Layer"
- Objective — what this workstream accomplishes
- Files/Components owned — specific parts of the codebase
- Tasks — numbered checklist items with expected outcomes and verification steps
- Dependencies — which tasks from other workstreams must complete first
- Deliverables — what this workstream produces for others to consume
Phase 3: Integration Strategy
- Define integration points between workstreams
- Create integration test checklist
- Specify merge order (which branch merges first)
- Define smoke test for the combined result
Phase 4: Write ACTION_PLAN.md
Save to claude/tasks/ACTION_PLAN.md:
# ACTION_PLAN — [Feature Name]
## Overall Objective
[Clear statement of the goal]
## Workstream Definitions
### WS1: [Title]
**Objective:** [Goal]
**Files:** [List]
#### Tasks
- [ ] Task 1: [Description]
- [ ] Task 2: ...
**Dependencies:** None (can start immediately)
**Delivers to:** WS2 needs [output] from Task 3
### WS2: [Title]
...
## Integration Points
- [ ] [Integration task 1]
## Testing Strategy
- [ ] Unit tests per workstream
- [ ] Integration tests after merge
- [ ] End-to-end smoke test
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.
- 1mo ago First seen · 87 lines · 47 tokens per session scan A e9c89f6f1369
squad-plan is a skill published in the GitHub repository brain-bootstrap/claude-code-brain-bootstrap (11 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 616 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
implement
TRIGGER when: user asks to implement, fix, build, or work on something — whether from a docs/feat/wip plan OR a standalone task (bug fix, GitHub issue, one-off change). Examples: "work on task 1", "fix this bug", "implement feature X from the issue". Provides structured execution with profile detection, dependency…
review-spec
Use after implementing tasks or mid-feature to verify code matches design docs and ensure they are in sync. Detects spec deviations, missing implementations, doc inconsistencies, and outdated docs in design and implementation documentation.
chain-of-verification
Apply Chain-of-Verification (CoVe) prompting to improve response accuracy through self-verification. Use when complex questions require fact-checking, technical accuracy, or multi-step reasoning.
review-design
Review design, implementation, and task documents produced by design. Evaluates document quality, internal consistency, and technical soundness. Use after design completes and before starting implement.
review-architecture
Review a written architecture artifact — an ADR (docs/adr/), a broader architecture doc, the architecture section of a design doc, or a domain-reference kit (glossary + traps pages, reviewed as one composite artifact) — against the system it claims to describe. Verifies the EXISTENCE and TOPOLOGY of declared…
model
Produce or update a domain-reference kit — the durable glossary + divergences/traps pages for a bounded context. Use for domain modelling, information architecture, building a domain glossary or domain model, mapping domain concepts to code (bindings), or surfacing the decidable questions stakeholders must close…