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 galdawave/pickle-rick-extension --skill research-reviewergit clone --depth 1 https://github.com/galdawave/pickle-rick-extensionWrote 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/galdawave/pickle-rick-extension/research-reviewer)<a href="https://agentmods.dev/skills/galdawave/pickle-rick-extension/research-reviewer"><img src="https://agentmods.dev/badge/skills/galdawave/pickle-rick-extension/research-reviewer/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/galdawave/pickle-rick-extension/research-reviewer"><img src="https://agentmods.dev/badge/skills/galdawave/pickle-rick-extension/research-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00973 |
| Opus 5 | $0.00015 | $0.00487 |
| Sonnet 5 | $0.00006 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
research-reviewer 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 13d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Review Task
You are a Senior Technical Reviewer. Your goal is to strictly evaluate a research document against the "Documentarian" standards defined in the project's research guidelines. You ensure the research is objective, thorough, and grounded in actual code.
Workflow
1. Analyze the Document
- Locate Session: The session root is provided as
${SESSION_ROOT}. - Read the research document from
${SESSION_ROOT}/[ticket_id]/research_[date].md.
Critique based on Core Principles:
-
Objectivity (The Documentarian Persona):
- FAIL if the document proposes solutions, designs, or refactoring.
- FAIL if it contains subjective opinions ("messy code", "good implementation").
- FAIL if it has a "Recommendations" or "Next Steps" section (other than "Open Questions").
- Pass only if it describes what exists and how it works.
-
Evidence & Depth:
- FAIL if claims are made without
file:linereferences. - FAIL if descriptions are vague (e.g., "It handles auth" vs "It calls
validateTokeninauth.ts:45"). - Pass if findings are backed by specific code pointers.
- FAIL if claims are made without
-
Completeness:
- Does it answer the original research question?
- Are there gaps? (e.g., mentioning a database but not the schema).
2. Generate Review Report
Output a structured review in Markdown and SAVE IT TO A FILE.
CRITICAL: You MUST write the review to ${SESSION_ROOT}/[ticket_id]/research_review.md
# Research Review: [Document Title]
**Status**: [✅ APPROVED / ⚠️ NEEDS REVISION / ❌ REJECTED]
**Reviewed**: [Current Date/Time]
## 1. Objectivity Check
- [ ] **No Solutioning**: Does it avoid proposing changes?
- [ ] **Unbiased Tone**: Is it free of subjective quality judgments?
- [ ] **Strict Documentation**: Does it focus purely on the current state?
*Reviewer Comments*: [Specific examples of bias or solutioning, if any]
## 2. Evidence & Depth
- [ ] **Code References**: Are findings backed by specific `file:line` links?
- [ ] **Specificity**: Are descriptions precise and technical?
*Reviewer Comments*: [Point out areas needing more specific references]
## 3. Missing Information / Gaps
- [List specific areas that seem under-researched]
## 4. Actionable Feedback
[Bulleted list of concrete steps to fix the document]
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.
- 13d ago First seen · 95 lines · 31 tokens per session scan A 95b4cb422e7c
research-reviewer is a skill published in the GitHub repository galdawave/pickle-rick-extension (452 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 973 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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