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 lllllllama/RigorPilot-Skills --skill ai-research-exploregit 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/skills/lllllllama/rigorpilot-skills/ai-research-explore)<a href="https://agentmods.dev/skills/lllllllama/rigorpilot-skills/ai-research-explore"><img src="https://agentmods.dev/badge/skills/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/skills/lllllllama/rigorpilot-skills/ai-research-explore"><img src="https://agentmods.dev/badge/skills/lllllllama/rigorpilot-skills/ai-research-explore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Rogue Agent · line 73 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00114 | $0.01430 |
| Opus 5 | $0.00057 | $0.00715 |
| Sonnet 5 | $0.00023 | $0.00286 |
| Haiku 4.5 | $0.00011 | $0.00143 |
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 5d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-research-explore
Purpose
Use this as the Rigor Explore compatible skill slug after the researcher
explicitly authorizes candidate-only work on top of a durable
current_research anchor. The installed slug remains ai-research-explore for
compatibility. Rigor Explore is for meaningful and potentially novel deep
learning research candidates while preserving scientific rigor, comparability,
reproducibility, and auditable collaboration. Novelty and significance remain
hypotheses before literature contrast, ablation evidence, and fair comparison.
The skill does not promise autonomous discovery, global benchmark completeness,
novelty proof, or trusted reproduction success.
Start from the shared operating principles in
../ai-research-reproduction/references/agent-operating-principles.md, then load
../ai-research-reproduction/references/research-rigor-principles.md for research claims and
../ai-research-reproduction/references/deep-learning-experiment-principles.md when experiment
details affect comparability or reproducibility.
Fit
Use this skill only when the request has both:
- Explicit exploration authorization such as candidate-only work, isolated branch or worktree, sweep, several variants, or exploratory ranking.
- A durable
current_researchcontext such as a branch, commit, checkpoint, run record, or already-trained local model state.
Keep narrow code-only requests on explore-code. Keep narrow run-only requests
on explore-run. Keep passive repository analysis on analyze-project. Keep
README-first reproduction on ai-research-reproduction.
Research Rhythm
Use a two-loop rhythm:
- Outer loop: understand the repository, freeze task/dataset/evaluation/budget, preserve user ideas, map sources, gate ideas, and decide whether the next experiment is worth running.
- Inner loop: make one bounded candidate change or run, smoke-check it, collect evidence, rank it against the current anchor, and either stop or return to the outer loop with the new evidence.
What ships with it
33 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 423 B
- references/ai-research-explore-policy.md 1.8 KB
- references/idea-evaluation-framework.md 1.1 KB
- references/research-campaign-spec.md 9.4 KB
- references/smoke-validation-policy.md 787 B
- references/source-mapping-policy.md 615 B
- references/sources-naming-policy.md 895 B
- scripts/lookup/__init__.py 624 B runs code
- scripts/lookup/cache_store.py 8.4 KB runs code
- scripts/lookup/inventory_writer.py 3.1 KB runs code
- scripts/lookup/normalizers.py 4.8 KB runs code
- scripts/lookup/providers/__init__.py 457 B runs code
- scripts/lookup/providers/arxiv_provider.py 2.8 KB runs code
- scripts/lookup/providers/base.py 3.0 KB runs code
- scripts/lookup/providers/doi_provider.py 2.8 KB runs code
- scripts/lookup/providers/github_provider.py 3.3 KB runs code
- scripts/lookup/providers/optional_provider.py 844 B runs code
- scripts/lookup/providers/url_provider.py 2.0 KB runs code
- scripts/lookup/record_schema.py 3.4 KB runs code
- scripts/lookup/repo_extractors.py 3.0 KB runs code
- scripts/lookup/source_support.py 4.4 KB runs code
- scripts/orchestrate_explore.py 122 KB runs code
- scripts/passes/__init__.py 909 B runs code
- scripts/passes/atomic_idea_decomposition.py 13 KB runs code
- scripts/passes/candidate_idea_generation.py 22 KB runs code
- scripts/passes/execution_feasibility.py 19 KB runs code
- scripts/passes/idea_cards.py 1.7 KB runs code
- scripts/passes/idea_ranking.py 8.4 KB runs code
- scripts/passes/implementation_fidelity.py 16 KB runs code
- scripts/passes/improvement_bank.py 19 KB runs code
- scripts/passes/lookup_sources.py 16 KB runs code
- scripts/passes/source_mapping.py 19 KB runs code
- scripts/write_outputs.py 1.2 KB runs code
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.
- 5d ago Changed 40d698b71b72
- 11d ago First seen · 126 lines · 114 tokens per session scan A c72dd3436782
ai-research-explore is a skill published in the GitHub repository lllllllama/RigorPilot-Skills (486 stars, last pushed 4d ago), licensed MIT. It adds 114 tokens to every session and 1,430 once invoked, about $0.0006 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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