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 commands/litestar-org/litestar-fullstack-inertia/implementgit clone --depth 1 https://github.com/litestar-org/litestar-fullstack-inertiaWrote 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/commands/litestar-org/litestar-fullstack-inertia/implement)<a href="https://agentmods.dev/commands/litestar-org/litestar-fullstack-inertia/implement"><img src="https://agentmods.dev/badge/commands/litestar-org/litestar-fullstack-inertia/implement.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 5.1 | $0.00007 | $0.01671 |
| Opus 5 | $0.00003 | $0.00835 |
| Sonnet 5 | $0.00001 | $0.00334 |
| Haiku 4.5 | $0.00001 | $0.00167 |
Grade A, and why
implement 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 2d 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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pattern-Guided Implementation Workflow
You are implementing the feature: $ARGUMENTS
Intelligence Layer (ACTIVATE FIRST)
- Load PRD context:
specs/active/{slug}/prd.md - Load patterns:
specs/active/{slug}/patterns/andspecs/guides/patterns/ - Load task list:
specs/active/{slug}/tasks.md - Check MCP strategy:
.claude/mcp-strategy.md
Checkpoint 0: Context Loading
Required reads:
cat specs/active/{slug}/prd.md
cat specs/active/{slug}/tasks.md
cat specs/active/{slug}/research/analysis.md
Verify PRD exists and is complete.
Output: "✓ Checkpoint 0 complete - PRD loaded, [N] tasks identified"
Checkpoint 1: Pattern Deep Dive
Read 3-5 similar implementations identified in PRD:
For Litestar backend:
- Read existing controller in same domain
- Read existing service in same domain
- Read related models
For React/Inertia frontend:
- Read similar page component
- Read related UI components
Document patterns in specs/active/{slug}/tmp/patterns-found.md:
## Patterns to Follow
### Controller Pattern
- Uses `@Controller` decorator with path
- Injects services via constructor
- Returns `InertiaResponse` for pages
### Service Pattern
- Extends `SQLAlchemyAsyncRepositoryService[Model]`
- Has `repository_type` class attribute
- Custom methods for business logic
### Repository Pattern
- Extends from advanced-alchemy base
- Uses model type parameter
### Frontend Pattern
- Page receives typed props
- Uses shadcn/ui components
- Follows resources/pages/{feature}/ structure
Output: "✓ Checkpoint 1 complete - Patterns documented"
Checkpoint 2: Database Layer (if needed)
Create models in app/db/models/:
Follow existing model patterns:
- Use
__tablename__with snake_case - Include
__table_args__if needed - Use proper type hints with SQLAlchemy 2.0 syntax
- Export in
app/db/models/__init__.py
Create migration:
uv run app database make-migrations
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.
- 2d ago First seen · 342 lines · 7 tokens per session scan A 768ec5ec00cf
implement is a command published in the GitHub repository litestar-org/litestar-fullstack-inertia (43 stars, last pushed 5d ago), licensed MIT. It adds 7 tokens to every session and 1,671 once invoked, about $0.0000 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 2026-09-03.
Other commands, from other repositories
pre-release
Run the pre-release checklist for this project.
pre-commit
Before running the checklist, run git fetch origin. If the current branch is behind origin/master, stop and rebase before proceeding.
greet
Generate contextual agent greeting using GreetingBuilder infrastructure.
manager
CRUD command router for managing SYNAPSE domains, rules, and star-commands.
add-rule
Adds a new rule to an existing SYNAPSE domain file.
toggle-domain
Toggles a SYNAPSE domain between active and inactive in the manifest.