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 skills/dgilford/ai-science-toolkit/tab-setupnpx skills add dgilford/ai-science-toolkit --skill tab-setupgit clone --depth 1 https://github.com/dgilford/ai-science-toolkitWrote 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/dgilford/ai-science-toolkit/tab-setup)<a href="https://agentmods.dev/skills/dgilford/ai-science-toolkit/tab-setup"><img src="https://agentmods.dev/badge/skills/dgilford/ai-science-toolkit/tab-setup.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 | $0.00038 | $0.00404 |
| Opus 5 | $0.00019 | $0.00202 |
| Sonnet 5 | $0.00008 | $0.00081 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
tab-setup 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 6d 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
If $ARGUMENTS is update, pull the latest skill from its repo and re-install it:
bash ~/.claude/skills/tab-setup/scripts/update.sh
Report whether it updated (and from/to which commit) or was already current. Note that changes take effect on the next Claude session.
If $ARGUMENTS is all, run the bulk sync:
bash ~/.claude/skills/tab-setup/scripts/sync-all.sh
Report the output exactly as returned (list of sessions with their assigned colors and TTYs). Renames inject automatically with a short delay — no further action needed.
Otherwise, set up this session's tab:
bash ~/.claude/skills/tab-setup/scripts/setup.sh "${CLAUDE_SESSION_ID}" $ARGUMENTS
The script output is one line: color=<name> name=<tab-name>. Report to the user: "Tab set up: / ". Color applies immediately; /color and /rename fire automatically in ~4 seconds.
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.
- 6d ago First seen · 44 lines · 38 tokens per session scan A 8d7d73107075
tab-setup is a skill published in the GitHub repository dgilford/ai-science-toolkit (62 stars, last pushed 17d ago), licensed MIT. It adds 38 tokens to every session and 404 once invoked, about $0.0002 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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