Borrowing it
Nothing to install: this file belongs to Codename-11/SubFrame. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Codename-11/SubFrame/main/.agents/skills/onboard/SKILL.mdgit clone --depth 1 https://github.com/Codename-11/SubFrameWrote 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/codename-11/subframe/onboard)<a href="https://agentmods.dev/skills/codename-11/subframe/onboard"><img src="https://agentmods.dev/badge/skills/codename-11/subframe/onboard/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/codename-11/subframe/onboard"><img src="https://agentmods.dev/badge/skills/codename-11/subframe/onboard.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 | $0.00032 | $0.01766 |
| Opus 5.5 | $0.00013 | $0.00706 |
| Sonnet 5.5 | $0.00006 | $0.00353 |
| Haiku 4.5 | $0.00003 | $0.00177 |
Grade A, and why
onboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SubFrame Onboard
Analyze an existing project and bootstrap SubFrame-compatible output files: .subframe/STRUCTURE.json, .subframe/PROJECT_NOTES.md, and initial sub-tasks.
Dynamic Context
Root directory listing:
!ls -la
Package manifest:
!cat package.json 2>/dev/null || cat pyproject.toml 2>/dev/null || cat Cargo.toml 2>/dev/null || echo "No package manifest found"
Project overview:
!head -100 README.md 2>/dev/null || echo "No README found"
AI configuration (Codex):
!head -50 AGENTS.md 2>/dev/null || echo "No AGENTS.md found"
AI configuration (Gemini):
!head -50 GEMINI.md 2>/dev/null || echo "No GEMINI.md found"
Source file survey:
!find . -maxdepth 2 -name "*.ts" -o -name "*.tsx" -o -name "*.py" -o -name "*.rs" -o -name "*.go" -o -name "*.java" -o -name "*.rb" 2>/dev/null | head -50
Existing SubFrame state:
!cat .subframe/STRUCTURE.json 2>/dev/null || echo "No STRUCTURE.json yet"
Instructions
Argument: `$ARGUMENTS`
Dry-Run Mode
If `$ARGUMENTS` contains `--dry-run`, do not write any files. Instead, show the full output that would be written for each file, clearly labeled with the target path. Then stop.
Step 1: Analyze the Project
Using the gathered dynamic context, determine:
- Project type — What kind of project is this? (web app, CLI tool, library, monorepo, etc.)
- Language and framework — Primary language, framework, and build tooling
- Architecture — Entry points, module structure, process model (single, client-server, microservices, etc.)
- Key modules — Identify the most important source files and their purposes (scan up to 3 directory levels deep)
- Existing documentation — What context already exists in README, AGENTS.md, GEMINI.md, or other docs?
- Dependencies — Key runtime and dev dependencies from the package manifest
Step 2: Generate STRUCTURE.json
Build a SubFrame-compatible `STRUCTURE.json` following this schema:
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.
- 1mo ago First seen · 215 lines · 32 tokens per session scan A ca6eb4c8bea4
onboard is a skill published in the GitHub repository Codename-11/SubFrame (10 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,766 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 2026-08-31.
Other skills, from other repositories
ox-cli-session-review
Audit every session in the project ledger for quality, then offer cleanup and regeneration. Carries the operational knowledge from the 2026-04-25 cleanup (the cache-only invariant and a failure-mode watch-list) that no single ox subcommand backs. Use when the user asks to "review the ledger sessions", "audit session…
ox-cli-session-stop
Stop recording and save this agent session to the project ledger.
intuitive-shape
Shape unsettled product ideas into bounded bets before planning; excludes settled fixes and approved execution.
intuitive-doc
Maintain README.md, ARCHITECTURE.md, STATUS.md, and docs/human/ when they drift or need cleanup.
ox-cli-status
Check SageOx project status including authentication, sync, and daemon health.
ox-cli-session-abort
Abort a session, discarding all local data without uploading to the ledger.