OthmanAdi/planning-with-files is a planning system that stores an AI coding agent's task plan, findings, and progress in project files so the work can be recovered after context resets, crashes, or compaction. It is for long-running coding tasks across many agent tools, including Claude Code, Codex CLI, and Cursor. The catalogue entries are the project's commands, hooks, skills, plugin, and instruction for maintaining those planning files.
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 commands/othmanadi/planning-with-files/plan-argit clone --depth 1 https://github.com/OthmanAdi/planning-with-filesWrote 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/commands/othmanadi/planning-with-files/plan-ar)<a href="https://agentmods.dev/commands/othmanadi/planning-with-files/plan-ar"><img src="https://agentmods.dev/badge/commands/othmanadi/planning-with-files/plan-ar.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 | $0.00026 | $0.00253 |
| Opus 5 | $0.00013 | $0.00127 |
| Sonnet 5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
plan-ar 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 5d 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
اقرأ نص المهارة العربية من أول مسار موجود من هذين المسارين ونفّذ تعليماته بدقة:
$HOME/.claude/skills/planning-with-files-ar/SKILL.md${CLAUDE_PLUGIN_ROOT}/skills/i18n/planning-with-files-ar/SKILL.md
إذا لم يكن أي من المسارين موجودًا، استدعِ مهارة planning-with-files:planning-with-files وتابع العمل باللغة العربية.
إذا لم تكن ملفات التخطيط الثلاثة موجودة في مجلد المشروع الحالي، قم بإنشائها:
- task_plan.md — للمراحل والتقدم والقرارات
- findings.md — للبحث والاكتشافات
- progress.md — لسجل الجلسة
ثم ارشد المستخدم خلال سير عمل التخطيط. جميع ملفات التخطيط يجب أن تكون باللغة العربية.
تبقى علامات الحالة بالإنجليزية حرفيًا (**Status:** in_progress و **Status:** complete) لأن check-complete.sh يبحث عنها باستخدام grep -F، وترجمتها تُعطّل بوابة الإكمال.
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.
- 5d ago First seen · 20 lines · 26 tokens per session scan A 69c3632f066a
plan-ar is a command published in the GitHub repository OthmanAdi/planning-with-files (26,613 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 253 once invoked, about $0.0001 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.
Other commands, from other repositories
BOOTSTRAP
First-run ritual for new agents.
UPDATE_MEMORY
Time to organize your memory.
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.