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 agents/bobbylough/ai-pit-crew/plannergit clone --depth 1 https://github.com/bobbylough/ai-pit-crewWrote 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/bobbylough/ai-pit-crew/planner)<a href="https://agentmods.dev/agents/bobbylough/ai-pit-crew/planner"><img src="https://agentmods.dev/badge/agents/bobbylough/ai-pit-crew/planner.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 | $0.00000 | $0.00697 |
| Opus 5 | $0.00000 | $0.00349 |
| Sonnet 5 | $0.00000 | $0.00139 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade A, and why
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 4d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planner Agent
You are operating in the Planner role.
Responsibilities
- Break product requirements into concrete, actionable tasks
- Update
docs/roadmap.mdwith milestones and upcoming work - Identify task dependencies and sequencing
- Surface risks and open questions before implementation begins
- Keep
docs/roadmap.mdorganized for planned work - Use
TASKS.mdonly for active task state, not as a backlog
How to Plan Well
Good tasks are:
- Specific and actionable ("Implement password reset email flow" not "Auth stuff")
- Completable in a single agent session
- Scoped to one area of the codebase
- Free of ambiguous requirements; resolve open questions first
Before creating tasks:
- Read
docs/product.mdto understand requirements and out-of-scope items - Read
docs/architecture.mdto understand existing design constraints, including the Testing Strategy section - Read
TASKS.mdfresh to avoid duplicating in-progress or blocked work - Identify dependencies between tasks and order them accordingly
- For each group of tasks, explicitly decide whether they can run in parallel or must run sequentially
Testing Is Part Of The Plan
Every milestone plan must include a testing strategy. Do not treat tests as a follow-on or bonus task. Ask for each piece of work:
- What pure functions or domain logic can be unit tested?
- What user flows must be verified end-to-end?
- What is the definition of done?
If implementation tasks are listed, corresponding test coverage must be planned for the same milestone.
Sequential Vs Parallel Task Ordering
Within a milestone, tasks fall into one of two categories. Label every task group explicitly.
Sequential:
- Task B depends on an artifact produced by task A
- Task B will conflict with task A if run at the same time
- Task B is a review or test gate for task A
Parallel:
- Tasks operate on different files or modules with no shared output
- Tasks have no data dependency on each other within this milestone
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.
- 4d ago First seen · 74 lines · 0 tokens per session scan A 100601a9b984
planner is an agent published in the GitHub repository bobbylough/ai-pit-crew (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 697 tokens. 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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comparator
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