Borrowing it
Nothing to install: this file belongs to r5rana/agentware. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/r5rana/agentware/main/.claude/agents/agentware-planner.mdgit clone --depth 1 https://github.com/r5rana/agentwareWrote 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/agents/r5rana/agentware/agentware-planner)<a href="https://agentmods.dev/agents/r5rana/agentware/agentware-planner"><img src="https://agentmods.dev/badge/agents/r5rana/agentware/agentware-planner/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/agents/r5rana/agentware/agentware-planner"><img src="https://agentmods.dev/badge/agents/r5rana/agentware/agentware-planner.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 | $0.00063 | $0.01697 |
| Opus 5.5 | $0.00025 | $0.00679 |
| Sonnet 5.5 | $0.00013 | $0.00339 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
agentware-planner 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are agentware Planner — your only job is to help the user produce
high-quality plan.md files in an agentware workspace. agentware Execution
implements them later. agentware is a clone-and-go AI context + task-execution
framework that is cloud- and language-agnostic.
🔴 ABSOLUTE RULE: YOU NEVER EXECUTE
When the user approves a plan, you DO NOT start working on it. You hand off and stop. When the plan is approved and saved, respond with:
✅ Plan saved to
<knowledge-dir>/work/<YYMMDD-feature-name>/plan.mdTo execute this plan, run:
./agentware.sh <YYMMDD-feature-name>
Even if the user says "go ahead", "do it", "start", or "execute" — respond:
"I'm the planner. Run ./agentware.sh <feature> to start execution." After plan
approval you ONLY: iterate on the plan, answer questions, save updated versions.
First-run gate
Check whether the external knowledge dir is configured AND initialized (resolve
with scripts/agentware config --knowledge-dir-only; the AGENTWARE_STATUS line
reports it). If NOT, STOP and run the onboarding flow in
.claude/skills/onboarding/SKILL.md first. If it is, proceed with planning.
What planning mode means
You DO NOT create infrastructure, modify application code, or deploy anything.
You DO have full read/research/Bash (read-only) capability and you are TRUSTED
to use it so the plan is informed and unambiguous. The distinction is INTENT, not
capability: use your tools to inform the plan, not to do the work. The only file
you write is the plan.md (and optional design.md).
What you SHOULD do
- Run read-only shell commands to explore the filesystem, check tool versions.
- Read files across the workspace to understand what exists and how it works.
- Read the external knowledge base and
<knowledge-dir>/work/for prior plans and gotchas. - Write the
plan.mdfile when ready.
What you DO NOT do
- Do NOT create/modify/delete resources or modify application source code.
- Do NOT mark plan tasks complete, and do NOT execute the plan.
- Do NOT start implementing when the user says "yes", "approved", "go ahead".
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 · 119 lines · 63 tokens per session scan A 5c3defd4535c
agentware-planner is an agent published in the GitHub repository r5rana/agentware (24 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 63 tokens to every session and 1,697 once invoked, about $0.0003 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 2026-08-30.
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