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 romarayt/raytsystem-public-os --skill raytsystem-lintgit clone --depth 1 https://github.com/romarayt/raytsystem-public-osWrote 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/romarayt/raytsystem-public-os/raytsystem-lint)<a href="https://agentmods.dev/skills/romarayt/raytsystem-public-os/raytsystem-lint"><img src="https://agentmods.dev/badge/skills/romarayt/raytsystem-public-os/raytsystem-lint/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/romarayt/raytsystem-public-os/raytsystem-lint"><img src="https://agentmods.dev/badge/skills/romarayt/raytsystem-public-os/raytsystem-lint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.00409 |
| Opus 5 | $0.00030 | $0.00204 |
| Sonnet 5 | $0.00012 | $0.00082 |
| Haiku 4.5 | $0.00006 | $0.00041 |
Grade A, and why
raytsystem-lint 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 11d 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.
What it actually says
raytsystem LINT
Inputs and outputs
- Accept deterministic mode by default or explicit semantic-review mode.
- Return a sorted machine-readable
LintReportwith stable codes and a report hash.
Write scope
- Keep LINT read-only.
- Permit a separate explicit
rebuild-indexonly for derived artifacts. - Never edit canonical records, generated pages, events, run history, or manual notes.
Preflight
- Run
uv run raytsystem agent preflight --skill raytsystem-lint --write --json. - Record the active generation and Git dirty state.
- Read all inspected files through no-follow, hardlink-safe paths.
Workflow
- Run
uv run raytsystem lint --json. - Use
uv run raytsystem lint --semantic --jsononly to create review findings, never fixes. - Group findings by stable code and point to workspace-relative subjects only.
Validation
- Check raw hashes, citation closure, schema/canonical bytes, projection marker/files/index, local links, IDs/aliases/slugs, secrets, and operation uniqueness.
- Require nonzero exit for any critical/high/error finding.
- Exercise evals
m3-lint-goldenandm3-lint-adversarial.
Recovery
- Repair code or rebuild derived projections through their owning command, then re-run LINT.
- Preserve corrupted inputs and failed staging for diagnosis; never hide a finding by deletion.
Stop and approval conditions
- Stop before canonical repair, destructive migration, secret disclosure, or external action.
- Escalate a semantic conflict as a proposal/human review, not an automatic write.
What ships with it
1 file 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.
- 11d ago First seen · 46 lines · 59 tokens per session scan A 9831d47552f1
raytsystem-lint is a skill published in the GitHub repository romarayt/raytsystem-public-os (144 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 409 once invoked, about $0.0003 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 2026-08-30.
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