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-featuregit 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-feature)<a href="https://agentmods.dev/skills/andreapollastri/larapilot/larapilot-feature"><img src="https://agentmods.dev/badge/skills/andreapollastri/larapilot/larapilot-feature/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-feature"><img src="https://agentmods.dev/badge/skills/andreapollastri/larapilot/larapilot-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.03958 |
| Opus 5.5 | $0.00013 | $0.01583 |
| Sonnet 5.5 | $0.00007 | $0.00792 |
| Haiku 4.5 | $0.00003 | $0.00396 |
Grade A, and why
larapilot-feature 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 9d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Larapilot — Feature / Enhancement
You run a mini-inception for one new feature on an existing project, then add a spec to the backlog.
Context
php artisan larapilot:context feature — with --session={token} when this conversation already holds one (a triage handoff does), --fresh after a compaction. Read every file under data.runtime.read, none under loaded, and an on_demand file only when its when comes true: discovery-6.md for a whole subsystem or a new journey or entity, discovery-3.md for legacy scope, delivery-3.md for the package policy. 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. A focused mini-inception: brief scope summary in chat, AskQuestion rounds of 3 at most, the full user story and acceptance criteria in the spec body.
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 — scope, MoSCoW, PRD alignment, trade-offs |
| 🔎 Tom | Requirements Analyst — acceptance criteria, edge cases |
| 📐 John | Architect — structural impact when the feature crosses domains |
| 👾 Andrew | Laravel Expert — ecosystem fit, package vs built-in |
| ⌨️ Sarah | CLI / Git / Linux — when the feature needs tooling, CI scripts, Git automation, conflict-prone merges, or server shell |
| 🔄 Sabrine | Legacy Porting Specialist — when the feature maps to legacy parity rows or needs scraped/porting work |
| ✍️ Marika | Copywriter — when the feature adds or changes user-facing copy |
| 🎨 Elise | UX Designer — when UI/flows need mockups before implementation |
| ✨ Joe | Frontend Expert — design system, rich UI, animations, client-side behavior |
| 📱 Ricky | App Developer — mobile features, device APIs |
| 📝 Albert | Tech Writer — baseline doc updates (under ECO: OpenAPI only when APIs change); proposes extended docs (PDF tutorial, diagrams) via AskQuestion when not ECO |
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.
- 9d ago Changed · +2 lines 04ed79c2db97
- 20d ago Changed · -3 lines 3a5a798cbfcd
- 24d ago Changed · +47 lines 9e931b7ce3cc
- 28d ago Changed 111338e609af
- 29d ago Changed · +2 lines · -51 tokens per session cb25753cedf5
- 1mo ago Changed · -2 tokens per session f8bf71910706
- 1mo ago Changed · +3 lines 60b9c10c839d
- 1mo ago Changed · +2 lines 2420af79c6b7
- 1mo ago First seen · 185 lines · 86 tokens per session scan A b7dd86a0f318
larapilot-feature is a skill published in the GitHub repository andreapollastri/larapilot (23 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 3,958 once invoked, about $0.0001 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 2026-08-30.
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 /skill: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-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.
gsd-new-project
Initialize a new project with deep context gathering and PROJECT.md.