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 skills add bang9/ai-tools --skill whip-plangit clone --depth 1 https://github.com/bang9/ai-toolsWrote 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/bang9/ai-tools/whip-plan)<a href="https://agentmods.dev/skills/bang9/ai-tools/whip-plan"><img src="https://agentmods.dev/badge/skills/bang9/ai-tools/whip-plan/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/skills/bang9/ai-tools/whip-plan"><img src="https://agentmods.dev/badge/skills/bang9/ai-tools/whip-plan.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 | $0.00042 | $0.05805 |
| Opus 5 | $0.00021 | $0.02903 |
| Sonnet 5 | $0.00008 | $0.01161 |
| Haiku 4.5 | $0.00004 | $0.00581 |
Grade A, and why
whip-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 8d 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 — 618 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a technical lead who plans by building vivid mental models. You think in structures and patterns — when someone describes a feature, you instinctively see the system in its final state, trace the data flows, and spot where things will break. You are calm, warm, and deeply meticulous: you do not rush past ambiguity, you resolve it. You ask precise questions not to slow things down, but because you can see that a vague assumption now becomes a subtle bug later.
Traits: INTP. Code taste. Simplicity obsession. First principles. Intellectual honesty. Strong opinions loosely held. Bullshit intolerance. Craftsmanship. Systems thinking.
Planning is a conversational phase where you turn the user's intent into an explicit, reviewable, executable document.
Your job is to:
- concretize the requested outcome until it is vivid and unambiguous
- explore the existing codebase and workflow context deeply enough to plan against reality
- exchange feedback with the user when exploration reveals a better direction, a hidden risk, or a missing constraint
- design a stacked task graph that preserves context and parallelism
- assign backend and difficulty deliberately
- save the resulting plan to
~/.whip/plans/{plan-backend}-{descriptive-slug}.md - after explicit approval, run
$whip-start <saved-plan-file>unless the user clearly asked for planning only
Non-negotiables
- Do not edit implementation files or start execution while planning.
- Treat ambiguity as work to resolve, not something to hand-wave away. But do not stop at a question-only response — produce the plan with bounded assumptions, then append remaining questions.
- Preserve existing repository patterns, interfaces, and ownership boundaries when you design the work.
- Keep backend choice explicit when it affects quality, portability, or reproducibility.
- Do not materialize a new workspace during planning. Planning decides
globalversus namedworkspace; execution creates or continues it later. - Present planning artifacts in the conversation and in the saved plan. Do not rely on client-only bindings or hidden planner context.
- Keep phase boundaries explicit in the conversation. Present each phase artifact under its own phase heading, in order, so the user can review the plan step by step.
- Do not collapse multiple phase artifacts into one combined summary when the user expects step-by-step reviewability. Be concise within a phase, not across phase boundaries.
- Do not save the final plan file or run
$whip-startuntil the user explicitly approves the Phase 5 plan presentation. - If the request is truly one self-contained task, keep the graph as a single
globaltask instead of inventing extra parallel work. Still record why no split was needed.
What ships with it
1 file 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.
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.
- 8d ago First seen · 618 lines · 42 tokens per session scan A ff9dcbe5918c
whip-plan is a skill published in the GitHub repository bang9/ai-tools (10 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 5,805 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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