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 chrille0313/agentic-monorepo-template --skill plangit clone --depth 1 https://github.com/chrille0313/agentic-monorepo-templateWrote 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/chrille0313/agentic-monorepo-template/plan)<a href="https://agentmods.dev/skills/chrille0313/agentic-monorepo-template/plan"><img src="https://agentmods.dev/badge/skills/chrille0313/agentic-monorepo-template/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/chrille0313/agentic-monorepo-template/plan"><img src="https://agentmods.dev/badge/skills/chrille0313/agentic-monorepo-template/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 | $0.00069 | $0.00788 |
| Opus 5.5 | $0.00028 | $0.00315 |
| Sonnet 5.5 | $0.00014 | $0.00158 |
| Haiku 4.5 | $0.00007 | $0.00079 |
Grade A, and why
plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/plan: from idea to build-ready work
Input ($ARGUMENTS): a feature or project description, however rough.
Outcome: a plan the user has explicitly approved, expressed as right-sized, build-ready tasks the inner loop can consume one at a time. The quality bar is high on purpose: first-pass quality is the dominant predictor of loop output (see docs/DESIGN.md), and the spec is where first-pass quality is decided.
1. Understand before proposing
Interview the user, as many rounds as it takes, until you can state without guessing: the goal and why now, the user-visible behavior, constraints (stack, compatibility, performance, security), what is explicitly out of scope, and how success is verified. The plan must be grounded in the codebase as it actually is, not as assumed. Challenge vague answers instead of absorbing them: "proper auth" is not a requirement; "email+password login with session cookies, no OAuth yet" is. Surface the decisions the user hasn't realized they're making.
2. Propose, then iterate to approval
Present the plan: approach, decomposition, ordering with dependencies, and open risks. Iterate until the user explicitly approves. Create nothing before approval.
Size tasks by cohesion. One task is a chunk an implementer can carry to a coherent, finished state and a human can still review in one sitting; it leaves the app releasable and is verifiable on its own. Splitting costs a spec, a branch, a review loop and a merge, and the seams are where incoherence enters, so a split needs a reason — typically:
- a hard dependency (one task's output is another's input),
- a risky unknown worth landing on its own, so it can be judged or reverted in isolation,
- a diff a human could no longer review honestly in one pass.
A coherent surface — a page, a user flow, a design system, a resource end-to-end — is the natural unit: build it whole while the diff stays reviewable. Slicing a UI by section is the classic failure, five PRs that each pass review and together look like five different products; when a surface genuinely outgrows one task, split it so the design is still decided once — its foundation lands first and later tasks conform to it.
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.
- yesterday First seen · 40 lines · 0 tokens per session scan A 1c9f056f705c
plan is a skill published in the GitHub repository chrille0313/agentic-monorepo-template (6 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 788 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 2026-11-07.
plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| planchrille0313/agentic-monorepo-template | Skill | 6 | 1mo ago | MIT | A | 69 | Claude Code |
| backloga-lottes/aSPARK | Skill | 25 | 3d ago | MIT | A | 94 | Claude Code |
| bf-clarifychan4lk/specclaw | Skill | 14 | 4d ago | MIT | A | 16 | Claude Code |
| bf-rebuild-planchan4lk/specclaw | Skill | 14 | 4d ago | MIT | A | 17 | Claude Code |
| bf-uichan4lk/specclaw | Skill | 14 | 4d ago | MIT | A | 15 | Claude Code |
| loopchan4lk/specclaw | Skill | 14 | 4d ago | MIT | A | 15 | Claude Code |
| bf-domainchan4lk/specclaw | Skill | 14 | 4d ago | MIT | A | 17 | Claude Code |