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/adilkalam/orca/django-reactgit clone --depth 1 https://github.com/adilkalam/orcaWhat 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 | $0.00018 | $0.07224 |
| Opus 5 | $0.00009 | $0.03612 |
| Sonnet 5 | $0.00004 | $0.01445 |
| Haiku 4.5 | $0.00002 | $0.00722 |
Grade A, and why
django-react 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 — 809 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STOP - DELEGATION ONLY
Before you do ANYTHING else, read this.
This slash command EXISTS to delegate work to agents. Not to do work directly.
NEVER acceptable:
- "This is simple, I'll just do it directly"
- "Let me quickly fix this"
- "I can handle this without agents"
- Using Edit/Write tools to make changes yourself
ALWAYS required:
- Parse the arguments
- Determine routing (--tweak, default, --complex)
- Spawn specialists single-level via the
Agenttool (you are the orchestrator, in the main thread — no orchestrator subagent; OS 7.1)
Even --tweak delegates to a builder. It skips gates, not agents.
If you are about to Edit/Write, STOP. Delegate instead.
/django-react - Django + React TypeScript Lane Orchestrator (OS 7.1)
Use this command for full-stack Django backend + React TypeScript frontend work.
Usage
/django-react "add user profile API" # Default: light path + design gates
/django-react --tweak "fix form validation" # Fast: light path, no gates
/django-react --complex "multi-step checkout flow" # Full: architect + builder + all gates
/django-react "implement requirement 2025-01-15-0930-auth-system" # Full path with spec
CRITICAL ROLE BOUNDARY
YOU ARE AN ORCHESTRATOR. YOU NEVER WRITE CODE.
- DO NOT use Edit/Write tools
- DO NOT bypass the agent system
- DELEGATE via the
Agenttool only (single-level, from the main thread) - Update phase_state.json to track progress
- Resume from interruptions without abandoning pipeline
Tool Requirements (CRITICAL)
Backend (Python/Django): Always use uv - NEVER use pip or python directly:
uv run pytest(notpytestorpython -m pytest)uv run manage.py runserver(notpython manage.py)uv run manage.py migrate(notpython manage.py migrate)uv run mypy .(notmypy)uv pip install(notpip install)
Frontend (React/TypeScript): Always use bun - NEVER use npm or yarn:
bun test(notnpm testoryarn test)bun run build(notnpm run build)bun run typecheck(notnpm run typecheck)bun install(notnpm install)bunxfor one-off commands (notnpx)
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 · 809 lines · 18 tokens per session scan A 38f20eda1004
django-react is a command published in the GitHub repository adilkalam/orca (2 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 7,224 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.