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 Ryan529616/aoi-orgware --skill aoi-bootstrapgit clone --depth 1 https://github.com/Ryan529616/aoi-orgwareWrote 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/ryan529616/aoi-orgware/aoi-bootstrap)<a href="https://agentmods.dev/skills/ryan529616/aoi-orgware/aoi-bootstrap"><img src="https://agentmods.dev/badge/skills/ryan529616/aoi-orgware/aoi-bootstrap.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 | $0.00085 | $0.01641 |
| Opus 5 | $0.00043 | $0.00821 |
| Sonnet 5 | $0.00017 | $0.00328 |
| Haiku 4.5 | $0.00009 | $0.00164 |
Grade A, and why
aoi-bootstrap 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 8d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AOI Bootstrap
Bootstrap AOI through a gated workflow:
inspect -> draft -> validate -> preview -> approve -> apply -> doctor
Keep the target repository unchanged during inspection, drafting, validation, and preview. A candidate may be written only to an external scratch path. Never apply it until the user explicitly approves the exact candidate SHA-256.
1. Inspect
Confirm that the requested root is the exact root of an existing Git worktree.
Read the repository's AGENTS.md, README.md, current runbooks, and existing
aoi.toml when present. Then run:
python <skill-directory>/scripts/inspect_project.py --root <repository-root>
Treat the JSON as inventory, not as authority. It intentionally does not read source contents or infer the organization.
Treat truncated, filesystem errors, linked entries, an unreadable/invalid
state marker, or git.tracked_changes_checked = false as incomplete evidence.
The bounded inspector intentionally does not run a full-worktree git status.
Resolve the affected boundary or present it as an explicit unknown before
drafting.
Stop without writing when any of these are true:
- the path is not the exact Git worktree root;
- the root or candidate configuration is a symlink or junction;
aoi.tomlalready exists and the user has not explicitly requested a review or interrupted-initialization recovery;- AOI state already exists without the same valid installed profile, is linked, or records a different Windows/WSL lock domain;
- the user's goal, risk tolerance, or project boundary is materially unclear.
2. Draft
Read profile-schema.md and organization-heuristics.md. Combine:
- the user's stated goal and constraints;
- repository evidence from inspection and current docs;
- the smallest useful set of stable specialist lanes;
- model-agnostic capability tiers and evidence gates.
Write a candidate TOML to a scratch path outside the target repository.
Keep hooks.codex.enabled = false and legacy.enabled = false unless the user
explicitly requests otherwise. Do not create agents or tasks during bootstrap.
If state_dir is customized, require that path to be absent or empty and include
the exact directory prefix in policy.high_risk_paths.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 170 lines · 85 tokens per session scan A d1d2ddfb59b6
aoi-bootstrap is a skill published in the GitHub repository Ryan529616/aoi-orgware (2 stars, last pushed 14d ago), licensed MIT. It adds 85 tokens to every session and 1,641 once invoked, about $0.0004 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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