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 skills/bostonorange/claude-code-framework/plannpx skills add BostonOrange/claude-code-framework --skill plangit clone --depth 1 https://github.com/BostonOrange/claude-code-frameworkWhat 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 | $0.00063 | $0.00958 |
| Opus 5 | $0.00032 | $0.00479 |
| Sonnet 5 | $0.00013 | $0.00192 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
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 yesterday.
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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan — Multi-Agent Planning
A specialist-driven plan for the current branch's work. The planner-coordinator agent classifies scope, spawns the right planning specialists in parallel, and synthesizes their outputs into a single plan document.
Usage
/plan — plan the current task using conversation context
/plan TICKET-123 — plan a tracked ticket; reads docs/stories/TICKET-123/story.md
/plan --refresh — re-run planning even if a plan exists for this branch
/plan --scope=large — override the auto-classified scope (forces all specialists)
Process
Phase 1: Read the Story
Source of the story:
- If a TICKET-id is passed, read
docs/stories/<TICKET-id>/story.md(and any linked design docs) - Otherwise, use the user's stated task from conversation context
- If neither is available, ask the user
Phase 2: Spawn the Planner Coordinator
Spawn planner-coordinator as a sub-agent:
Invoke planner-coordinator on the following story: <story>.
Use scope classifier to pick specialists.
Write the plan to .claude/state/plan-<branch>.md.
Surface blocking questions and the next action.
The coordinator handles:
- Scope classification (
tiny/small/medium/large) - Specialist selection
- Parallel spawning of Wave 1 (
requirements-clarifier,scope-decomposer,architect,api-designer,database-architect) - Sequential spawning of Wave 2 (
risk-assessor,test-strategy-planner— they consume Wave 1 outputs) - Merging into a single plan
- Persisting to
.claude/state/plan-<branch>.md
Phase 3: Surface to User
Show the user:
- Scope and specialist selection (so they know what was checked)
- Blocking questions (most important — work cannot start until resolved)
- The work-breakdown table (collapsed sub-steps unless asked)
- Top 3 risks
- Next action (resolve questions → re-plan, OR proceed to
/build)
Phase 4: Save and Exit
The plan file is the state. No additional persistence needed.
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.
- yesterday First seen · 96 lines · 63 tokens per session scan A 6b89b59c25a4
plan is a skill published in the GitHub repository BostonOrange/claude-code-framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 958 once invoked, about $0.0003 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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