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 jeonnoin-alt/Eureka --skill requesting-research-reviewgit clone --depth 1 https://github.com/jeonnoin-alt/EurekaWrote 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/jeonnoin-alt/eureka/requesting-research-review)<a href="https://agentmods.dev/skills/jeonnoin-alt/eureka/requesting-research-review"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/requesting-research-review/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/jeonnoin-alt/eureka/requesting-research-review"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/requesting-research-review.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 | $0.00029 | $0.01057 |
| Opus 5 | $0.00015 | $0.00528 |
| Sonnet 5 | $0.00006 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
requesting-research-review 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 11d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requesting Research Review
Dispatch eureka:research-reviewer subagent to catch scientific issues before they propagate. The reviewer gets precisely crafted context for evaluation — never your session's history. This keeps the reviewer focused on the evidence, not your thought process, and preserves your own context for continued work.
Core principle: Review before you conclude.
When to Request Review
Mandatory:
- After each major experiment phase (baselines, ablations, main experiments)
- Before writing any Results or Conclusion section
- Before submitting to any journal, conference, or preprint server
- Before reporting results to collaborators or supervisors
Optional but valuable:
- When results are surprising (real signal or artifact?)
- After revising analysis in response to feedback
- Before committing to a new research direction based on results
- When stuck interpreting ambiguous results
How to Request
1. Identify what you're reviewing:
Determine which research phase just completed and what the reviewer needs to evaluate.
2. Gather the review context:
RESEARCH_QUESTION = The exact hypothesis being tested
DESIGN_DOC_PATH = Path to the approved research design document
RESULTS_PATHS = Paths to ALL result files (not just summaries)
PHASE_DESCRIPTION = Which phase just completed (e.g., "baseline experiments")
DOMAIN_CONTEXT = Field-specific context, tools, typical effect sizes
TARGET_VENUE = Target journal or conference (sets the bar)
PASS_THRESHOLD = Score threshold (85 for mid-project, 95 for pre-submission)
3. Dispatch the research-reviewer subagent:
Use the Agent tool with eureka:research-reviewer type. Fill the template at requesting-research-review/research-reviewer-prompt.md with the gathered context.
4. Act on feedback:
- CRITICAL issues: Stop work. Do not report results. Do not proceed to the next phase. Fix the issue and request re-review.
- MAJOR issues: Fix before next phase. Do not build on flawed foundations.
- MINOR issues: Track and address before publication.
- Push back if the reviewer is wrong — with specific evidence from your data.
What ships with it
1 file 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.
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.
- 11d ago First seen · 114 lines · 29 tokens per session scan A f208160f0b51
requesting-research-review is a skill published in the GitHub repository jeonnoin-alt/Eureka (2 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 1,057 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 2026-08-31.
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