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/huzaifa525/claude-code-optimizer/planningnpx skills add huzaifa525/claude-code-optimizer --skill planninggit clone --depth 1 https://github.com/huzaifa525/claude-code-optimizerWrote 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/huzaifa525/claude-code-optimizer/planning)<a href="https://agentmods.dev/skills/huzaifa525/claude-code-optimizer/planning"><img src="https://agentmods.dev/badge/skills/huzaifa525/claude-code-optimizer/planning.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 | $0.00032 | $0.00412 |
| Opus 5 | $0.00016 | $0.00206 |
| Sonnet 5 | $0.00006 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
planning 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 3d 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.
What it actually says
When working on a complex task, create and maintain a persistent plan in task_plan.md at the project root.
When to Activate
- Task requires 5+ tool calls or file changes
- Multiple files need to be created or modified
- Task has dependencies between steps
- User explicitly asks to plan
Plan Format
Create task_plan.md with this structure:
# Task: [description]
## Status: In Progress | Completed | Blocked
## Steps
- [x] Step 1: [completed step]
- [ ] Step 2: [current step] ← CURRENT
- [ ] Step 3: [next step]
- [ ] Step 4: [future step]
## Key Files
- [file] → [what needs to change]
## Decisions Made
- [decision and why]
## Blockers
- [any blockers]
Rules
- Create plan BEFORE starting work — write task_plan.md first
- Update after each step — mark completed, move CURRENT marker
- Track decisions — record why you chose an approach
- Note blockers — if stuck, write it down
- Read plan on resume — if task_plan.md exists, read it first to continue where you left off
- Delete on completion — remove task_plan.md when all steps are done
On Session Resume
If task_plan.md exists:
- Read it
- Find the CURRENT step
- Continue from there
- Update progress as you go
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.
- 3d ago First seen · 60 lines · 32 tokens per session scan A c4d808f224c0
planning is a skill published in the GitHub repository huzaifa525/claude-code-optimizer (9 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 412 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 2026-08-31.
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critical-review
Use when you want structured feedback on a plan or document before implementation.
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Use when you want a thorough code review of files, changes, or the entire project before shipping.
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Use when you want to implement the next batch of a plan. Handles module implementation, testing, and validation.
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