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 skills/pilotspace/pilot-space/generate-codenpx skills add pilotspace/pilot-space --skill generate-codegit clone --depth 1 https://github.com/pilotspace/pilot-spaceWhat 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 | $0.00023 | $0.01274 |
| Opus 5 | $0.00012 | $0.00637 |
| Sonnet 5 | $0.00005 | $0.00255 |
| Haiku 4.5 | $0.00002 | $0.00127 |
Grade A, and why
generate-code 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Code Skill
Generate production-ready code based on a feature description, issue context, or note content. Writes code blocks to the current note for review and integration.
Quick Start
Use this skill when:
- User requests code generation for a feature (
/generate-code) - Agent detects an issue needs a code scaffold
- User provides a description of what code they need
Example:
User: "Generate a FastAPI endpoint for creating workspace invitations"
AI generates:
- Pydantic schema (InvitationCreateRequest, InvitationResponse)
- Service class (InvitationService.execute)
- Repository method stub (InvitationRepository.create)
- Router endpoint (POST /workspaces/{workspace_id}/invitations)
Workflow
-
Gather Context
- Read current note content for requirements and constraints
- Fetch related issue details if issue_id is present in context
- Identify target language/framework from workspace or note context
- Check existing code patterns via
search_note_contentfor consistency
-
Plan Code Structure
- Identify components: schema, service, repository, router (backend) or component, hook, store (frontend)
- Determine file placement following project conventions
- Identify dependencies and imports needed
-
Generate Code
- Write idiomatic, production-ready code with type hints
- Follow project conventions: CQRS-lite (backend), MobX + TanStack Query (frontend)
- Include docstrings for public APIs
- No placeholders, no TODOs — complete implementations only
-
Insert to Note
- Use
insert_blockto write each code block as a separate code fence - Prepend with a brief explanation heading
- Include file path comment at top of each block
- Use
-
Request Suggestion Approval
- Return
status: pending_suggestionfor user review before integration - User can edit blocks directly in the note before accepting
- Return
Output Format
{
"status": "pending_suggestion",
"skill": "generate-code",
"blocks_inserted": 4,
"note_id": "note-uuid",
"summary": "Generated FastAPI endpoint with schema, service, repository stub, and router",
"files_referenced": [
"backend/src/pilot_space/api/v1/schemas/invitation.py",
"backend/src/pilot_space/application/services/invitation_service.py",
"backend/src/pilot_space/infrastructure/database/repositories/invitation_repository.py",
"backend/src/pilot_space/api/v1/routers/invitations.py"
]
}
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 · 175 lines · 23 tokens per session scan A 3682b4cece8a
generate-code is a skill published in the GitHub repository pilotspace/pilot-space (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 1,274 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.
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