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 instructions/tikoci/rosetta/skill-attribution-boundarygit clone --depth 1 https://github.com/tikoci/rosettaWrote 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/instructions/tikoci/rosetta/skill-attribution-boundary)<a href="https://agentmods.dev/instructions/tikoci/rosetta/skill-attribution-boundary"><img src="https://agentmods.dev/badge/instructions/tikoci/rosetta/skill-attribution-boundary.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 | $0.00142 | $0.00142 |
| Opus 5 | $0.00071 | $0.00071 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
rosetta skill-attribution-boundary.instructions.md 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 4d 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
Skill attribution boundary
Skills from tikoci/routeros-skills are supplemental, not authoritative.
- Keep provenance headers when skills are exposed through MCP resources or the TUI.
- Do not blur skill guidance together with official MikroTik docs in wording or ranking.
- When documenting the corpus, call out that skills are AI-generated, human-reviewed, and should be verified against official docs.
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.
- 4d ago First seen · 12 lines · 142 tokens per session scan A 3bd858acb6b3
rosetta skill-attribution-boundary.instructions.md is an instructions file published in the GitHub repository tikoci/rosetta (43 stars, last pushed 18d ago), licensed MIT. It adds 142 tokens to every session, about $0.0007 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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