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 rome-os/rome --skill import-skillgit clone --depth 1 https://github.com/rome-os/romeWrote 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/rome-os/rome/import-skill)<a href="https://agentmods.dev/skills/rome-os/rome/import-skill"><img src="https://agentmods.dev/badge/skills/rome-os/rome/import-skill/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/rome-os/rome/import-skill"><img src="https://agentmods.dev/badge/skills/rome-os/rome/import-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 204 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Data Exfiltration · line 32 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00053 | $0.02441 |
| Opus 5.5 | $0.00021 | $0.00976 |
| Sonnet 5.5 | $0.00011 | $0.00488 |
| Haiku 4.5 | $0.00005 | $0.00244 |
Grade A, and why
import-skill 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Import a skill
Turn what the guardian brings you into something installed — a URL to an existing skill, a pasted SKILL.md, or a description of one they wish existed. Brainstorm with them: propose, listen, revise. Don't install anything without getting a clear go-ahead.
Most of what you're handed is a plain skill for the user-skills carrier. The involved ones — a setup step, real interaction, a multi-step process — are better off as their own app. Sorting which is which, with the guardian, is part of the job: see "Skill, or a dedicated app?" before you install.
Classify the input
- URL → see "Resolving a URL".
- Pasted SKILL.md (frontmatter + body, or close to it) → validate, preview.
- Description (prose, a wish, a workflow explained) → see "Generating".
- Empty or ambiguous → ask one short question. Don't guess.
Resolving a URL
github.com/<owner>/<repo>/blob/<ref>/<path>→ fetch the raw formhttps://raw.githubusercontent.com/<owner>/<repo>/<ref>/<path>.github.com/<owner>/<repo>/tree/<ref>/<dir>→ list it viahttps://api.github.com/repos/<owner>/<repo>/contents/<dir>?ref=<ref>and download the SKILL.md plus its auxiliary files.- Bare repo → look for
SKILL.mdat the root, then underskills/. - Anything else → fetch it; if it's skill-shaped, proceed; if it's prose describing a workflow, offer to generate a skill from it.
If the source holds more than one skill (several SKILL.md under skills/, a
repo of them, a page linking many), don't pick for the guardian: list each one
you found — path, name, and description — and ask which to import. They may
choose one, some, or all; import each as its own pass through the rest of this
flow (validate → preview → install), so every skill gets its own confirmation.
On a network error or 404, say so and ask for a corrected link.
Generating from a description
The guardian is the domain expert; you're the author. Ask at most 2–3 focused questions, only where the description is genuinely open:
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 Changed · -2 lines 969839af3ccb
- 13d ago Changed · +3 lines eeddf90fe79b
- 1mo ago First seen · 209 lines · 53 tokens per session scan A d65ed8420f06
import-skill is a skill published in the GitHub repository rome-os/rome (835 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 2,441 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
aos-router
Route one inbound user message to exactly one enabled AOS capability. This skill is a strategy contract only. Transport normalization, queueing, permissions, idempotency, audit events, retries, and capability execution stay in Rust.
code-studio-spec
Kiro-style Spec Mode for Code Studio: requirements, design, tasks, implementation, verification, and final report. Runtime sessions, candidate workspaces, diff approval, tests, and cancellation stay in Rust.
watchdog
Parse natural-language WatchDog questions into structured AgentOps queries. This skill documents the intent contract. Rust rules, permission checks, action guards, and fallback answers remain authoritative.
code-studio-code
Cursor/Codex-style coding workspace contract for ordinary Code Mode. This skill documents the behavior expected from the coding agent. Runtime sessions, workspace isolation, process execution, diff validation, and apply/reject actions stay in Rust.
nl2sql-reference
Strategy contract for user-bound reference files in Data Exploration. References can be README files, SQL demos, Python scripts, notebooks exported as text, metric dictionaries, or any UTF-8 text that explains business query patterns. Storage, upload validation, SQL safety, datasource permissions, and query execution…
pm-assistant
Product operations assistant strategy contract. PM short answers and deep analysis should be evidence-grounded and should separate facts from hypotheses. Model calls, hooks, queueing, cancellation, notifications, and staged task execution stay in Rust.