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.
git clone --depth 1 https://github.com/lllllllama/RigorPilot-SkillsWrote 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/commands/lllllllama/rigorpilot-skills/ai-research-explore)<a href="https://agentmods.dev/commands/lllllllama/rigorpilot-skills/ai-research-explore"><img src="https://agentmods.dev/badge/commands/lllllllama/rigorpilot-skills/ai-research-explore/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/commands/lllllllama/rigorpilot-skills/ai-research-explore"><img src="https://agentmods.dev/badge/commands/lllllllama/rigorpilot-skills/ai-research-explore.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 | $0.00016 | $0.00160 |
| Opus 5 | $0.00008 | $0.00080 |
| Sonnet 5 | $0.00003 | $0.00032 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
ai-research-explore 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 10d 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
Read and follow @skills/ai-research-explore/SKILL.md.
Treat $ARGUMENTS as the exploratory brief. If the leading argument clearly identifies a branch, commit, checkpoint, run record, or trained model state, use it as current_research. If current_research is still ambiguous, ask one concise follow-up before continuing.
Keep the work in Rigor Explore:
- use isolated branches or worktrees
- keep outcomes candidate-only
- coordinate exploratory code and run work when needed
- write the standard
explore_outputs/bundle
Additional user context: $ARGUMENTS
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.
- 10d ago First seen · 18 lines · 16 tokens per session scan A fd737e5dd0c4
ai-research-explore is a command published in the GitHub repository lllllllama/RigorPilot-Skills (486 stars, last pushed 3d ago), licensed MIT. It adds 16 tokens to every session and 160 once invoked, about $0.0001 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.
Other commands, from other repositories
cite-check
Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.
review-paper
Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.
research-pipeline
Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.
setup_research_plan
Set up or start a research project.
issue-tree
Decompose a business problem into a MECE issue tree.
so-what
Extract the "so what" and "now what" from raw analysis.