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 maxwellsdm1867/wheeler --skill llmsr-discovergit clone --depth 1 https://github.com/maxwellsdm1867/wheelerWrote 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/maxwellsdm1867/wheeler/llmsr-discover)<a href="https://agentmods.dev/skills/maxwellsdm1867/wheeler/llmsr-discover"><img src="https://agentmods.dev/badge/skills/maxwellsdm1867/wheeler/llmsr-discover/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/maxwellsdm1867/wheeler/llmsr-discover"><img src="https://agentmods.dev/badge/skills/maxwellsdm1867/wheeler/llmsr-discover.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00036 | $0.00520 |
| Opus 5 | $0.00018 | $0.00260 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
llmsr-discover 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
Call get_act on the wheeler_core MCP server with name="llmsr-discover",
then follow the returned instructions exactly. They are the authoritative
definition of this act. Do not improvise the workflow or substitute your own
plan for it.
Pass host="codex" when running under Codex so the orchestration guidance
matches the tools this host actually has.
Mode: write. Orchestration: subagents.
If get_act is unavailable, the Wheeler MCP servers are not connected. Say so
rather than guessing at the workflow: acting without the act text is how
provenance gets silently skipped.
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 · 48 lines · 36 tokens per session scan A 2cf6a73f249f
llmsr-discover is a skill published in the GitHub repository maxwellsdm1867/wheeler (11 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 520 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 2026-09-03.
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