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/cfircoo/claude-code-toolkit/create-plansnpx skills add cfircoo/claude-code-toolkit --skill create-plansgit clone --depth 1 https://github.com/cfircoo/claude-code-toolkitWhat 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 | $0.00057 | $0.04396 |
| Opus 5 | $0.00028 | $0.02198 |
| Sonnet 5 | $0.00011 | $0.00879 |
| Haiku 4.5 | $0.00006 | $0.00440 |
Grade B, and why
create-plans scanned grade B with 1 finding 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 2d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls ~/.claude/skills/expertise/ 2>/dev/null This is a copy
100% identical to create-plans — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 489 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<essential_principles>
When planning a phase, you are writing the prompt that will execute it.
The quality degradation curve:
- 0-30% context: Peak quality (comprehensive, thorough, no anxiety)
- 30-50% context: Good quality (engaged, manageable pressure)
- 50-70% context: Degrading quality (efficiency mode, compression)
- 70%+ context: Poor quality (self-lobotomization, rushed work)
Critical insight: Claude doesn't degrade at 80% - it degrades at ~40-50% when it sees context mounting and enters "completion mode." By 80%, quality has already crashed.
Solution: Aggressive atomicity - split phases into many small, focused plans.
Examples:
01-01-PLAN.md- Phase 1, Plan 1 (2-3 tasks: database schema only)01-02-PLAN.md- Phase 1, Plan 2 (2-3 tasks: database client setup)01-03-PLAN.md- Phase 1, Plan 3 (2-3 tasks: API routes)01-04-PLAN.md- Phase 1, Plan 4 (2-3 tasks: UI components)
Each plan is independently executable, verifiable, and scoped to 2-3 tasks maximum.
Atomic task principle: Better to have 10 small, high-quality plans than 3 large, degraded plans. Each commit should be surgical, focused, and maintainable.
Autonomous execution: Plans without checkpoints execute via subagent with fresh context - impossible to degrade.
See: references/scope-estimation.md
Checkpoint types:
checkpoint:human-verify- Human confirms Claude's automated work (visual checks, UI verification)checkpoint:decision- Human makes implementation choice (auth provider, architecture)
Rarely needed: checkpoint:human-action - Only for actions with no CLI/API (email verification links, account approvals requiring web login with 2FA)
Critical rule: If Claude CAN do it via CLI/API/tool, Claude MUST do it. Never ask human to:
- Deploy to Vercel/Railway/Fly (use CLI)
- Create Stripe webhooks (use CLI/API)
- Run builds/tests (use Bash)
- Write .env files (use Write tool)
- Create database resources (use provider CLI)
Protocol: Claude automates work → reaches checkpoint:human-verify → presents what was done → waits for confirmation → resumes
See: references/checkpoints.md, references/cli-automation.md
During execution, deviations are handled automatically via 5 embedded rules:
- Auto-fix bugs - Broken behavior → fix immediately, document in Summary
- Auto-add missing critical - Security/correctness gaps → add immediately, document
- Auto-fix blockers - Can't proceed → fix immediately, document
- Ask about architectural - Major structural changes → stop and ask user
- Log enhancements - Nice-to-haves → auto-log to ISSUES.md, continue
No user intervention needed for Rules 1-3, 5. Only Rule 4 (architectural) requires user decision.
All deviations documented in Summary with: what was found, what rule applied, what was done, commit hash.
Result: Flow never breaks. Bugs get fixed. Scope stays controlled. Complete transparency.
What ships with it
31 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 9.6 KB
- references/checkpoints.md 20 KB
- references/cli-automation.md 17 KB
- references/context-management.md 3.7 KB
- references/domain-expertise.md 5.0 KB
- references/git-integration.md 2.2 KB
- references/hierarchy-rules.md 4.0 KB
- references/milestone-management.md 13 KB
- references/plan-format.md 12 KB
- references/research-pitfalls.md 7.3 KB
- references/scope-estimation.md 12 KB
- references/user-gates.md 2.2 KB
- templates/brief.md 3.4 KB
- templates/continue-here.md 1.8 KB
- templates/issues.md 3.5 KB
- templates/milestone.md 3.0 KB
- templates/phase-prompt.md 6.7 KB
- templates/research-prompt.md 6.8 KB
- templates/roadmap.md 4.8 KB
- templates/summary.md 4.5 KB
- workflows/complete-milestone.md 8.5 KB
- workflows/create-brief.md 2.3 KB
- workflows/create-roadmap.md 3.5 KB
- workflows/execute-phase.md 31 KB
- workflows/get-guidance.md 2.0 KB
- workflows/handoff.md 3.2 KB
- workflows/plan-chunk.md 1.5 KB
- workflows/plan-phase.md 9.9 KB
- workflows/research-phase.md 2.7 KB
- workflows/resume.md 2.6 KB
- workflows/transition.md 3.7 KB
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.
- 2d ago First seen · 489 lines · 57 tokens per session scan B c0adb5d8a791
create-plans is a skill published in the GitHub repository cfircoo/claude-code-toolkit (17 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 4,396 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). It is 100% identical to create-plans, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…