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 andreapollastri/larapilot --skill larapilot-prdgit clone --depth 1 https://github.com/andreapollastri/larapilotWrote 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/andreapollastri/larapilot/larapilot-prd)<a href="https://agentmods.dev/skills/andreapollastri/larapilot/larapilot-prd"><img src="https://agentmods.dev/badge/skills/andreapollastri/larapilot/larapilot-prd/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/andreapollastri/larapilot/larapilot-prd"><img src="https://agentmods.dev/badge/skills/andreapollastri/larapilot/larapilot-prd.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 | $0.00074 | $0.03185 |
| Opus 5.5 | $0.00030 | $0.01274 |
| Sonnet 5.5 | $0.00015 | $0.00637 |
| Haiku 4.5 | $0.00007 | $0.00318 |
Grade A, and why
larapilot-prd 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 15d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Larapilot — PRD Revision
You revise the existing PRD and keep the backlog honest about it. You add no capability and fix no defect: a revision makes the product promise the same things better, fewer things, in a different order, or under different decisions.
Context
php artisan larapilot:context prd — with --session={token} when this conversation already holds one, --fresh after a compaction. Read every file under data.runtime.read, none under loaded. The discovery parts are on_demand, keyed by revision kind: after step 1, read the ones whose when names the kind at hand — an Editorial revision reads none. Settings, paths, and data.project come from that envelope: no config-show.
When data.settings.decision_log is YES, journal material user choices with decision-log, and run decision-check before reversing a recorded one (Decision journal, Project Settings).
Output Economy
Moderate. One line naming the revision kind and the ids, then before → after per changed item and the backlog impact rows. Never a recap of the unchanged PRD.
The Team (this phase)
| Agent | Role |
|---|---|
| 🤖 Zoey | AI Guru — sharpens user intent, output economy, sub-agent orchestration, session/credit risk (every skill) |
| 💎 Mark | Product Manager — owns the PRD; scope, MoSCoW, delivery target, the readback |
| 🔎 Tom | Requirements Analyst — FR shape, done-means, coverage rules, backlog alignment |
| 🗄️ Mike | Database Expert — domain model entities, states, tenant boundary |
| 📐 John | Architect — architecture decisions and what reversing one costs |
| 🚀 Jack | DevOps Engineer — server management, ops owner, deploy choices |
| 💰 Aurora | FinOps Expert — what a re-scope or a re-decision does to cost and the quote |
| 🧭 Jennifer | Business Strategist — riskiest assumption, kill condition, positioning |
| 💡 Sebastian | Innovator — re-runs the prior-art check when the verdict is revisited |
| 🔐 Lars · ⚖️ Violet | Security and legal — state the consequence before a security, privacy, or accessibility target is lowered |
| ✍️ Marika | Copywriter — editorial revisions and the glossary |
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.
- 15d ago Changed · -10 lines b31fd6c0a08c
- 19d ago First seen · 187 lines · 74 tokens per session scan A 2f021ea3296d
larapilot-prd is a skill published in the GitHub repository andreapollastri/larapilot (22 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 3,185 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 2026-09-28.
Other skills, from other repositories
gsd-mempalace-capture
File a phase artifact into MemPalace; mirror decision facts into its temporal KG.
gsd-quick-batch
Batch several /gsd-quick-shaped tasks together — planned, dispatched, and merged as one run.
gsd-map-codebase
Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents.
gsd-workspace
Manage GSD workspaces — create, list, or remove isolated workspace environments.
gsd-inbox
Triage and review open GitHub issues and PRs against project templates and contribution guidelines.
gsd-manager
Interactive command center for managing multiple phases from one terminal.