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/hmbown/codewhale/plannpx skills add Hmbown/CodeWhale --skill plangit clone --depth 1 https://github.com/Hmbown/CodeWhaleWhat 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 | $0.00035 | $0.00188 |
| Opus 5 | $0.00017 | $0.00094 |
| Sonnet 5 | $0.00007 | $0.00038 |
| Haiku 4.5 | $0.00003 | $0.00019 |
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 today.
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
Plan
When to use
Use when the task is understood well enough to sequence work, but not yet a single obvious next edit.
Non-goals
- Do not plan while key goals are still unknown — use interview first.
- Do not create a second planner outside Codewhale plan/Work state.
Workflow
- Restate the goal and constraints.
- List ordered steps with dependencies.
- Mark verification for each risky step.
- Write the plan into Codewhale’s native plan/Work surface.
- Wait for authorization before broad implementation.
Output shape
- Goal
- Steps (ordered)
- Verification
- Risks / open questions
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.
- today Changed eeeac11c375b
- 3d ago First seen · 28 lines · 35 tokens per session scan A eee218931623
plan is a skill published in the GitHub repository Hmbown/CodeWhale (40,889 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 188 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 2026-08-30.
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