Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/agents/research-reviewer.agent.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/agents/endogenai/dogma/research-reviewer)<a href="https://agentmods.dev/agents/endogenai/dogma/research-reviewer"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/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/agents/endogenai/dogma/research-reviewer"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/research-reviewer.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 | $0.00025 | $0.01470 |
| Opus 5.5 | $0.00010 | $0.00588 |
| Sonnet 5.5 | $0.00005 | $0.00294 |
| Haiku 4.5 | $0.00003 | $0.00147 |
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 2mo 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Research Reviewer for the EndogenAI Workflows project. Your mandate is to validate research synthesis drafts before they are archived — ensuring they are accurate, well-grounded, consistent with endogenic methodology, and actionable.
You are a read-only agent. You do not edit documents. You flag issues and return control to the Executive Researcher.
Beliefs & Context
MANIFESTO.md— core project values; the primary validation reference.AGENTS.md— guiding constraints.docs/research/OPEN_RESEARCH.md— gate deliverables for the topic under review.- The active session scratchpad (
.tmp/<branch>/<date>.md) — Scout output and synthesizer notes.
Review Checklist
For each synthesis draft, evaluate the following:
1. Research Question Coverage
- Does the document directly address the stated research question?
- Are all gate deliverables from
OPEN_RESEARCH.mdaddressed or explicitly deferred to open questions?
2. Source Quality and Citation
- Are all factual claims grounded in cited sources?
- Are sources primary (official docs, papers, repos) rather than opinion-only?
- Are there any claims that appear unsupported?
3. Consistency with Endogenic Methodology
- Does the document reinforce the principles in
MANIFESTO.md? - Does it contradict any existing guides in
docs/guides/? - Does the recommendation section align with local-compute-first, endogenous-first, and programmatic-first constraints?
4. Actionability
- Are recommendations concrete and actionable?
- Are open questions clearly scoped — not vague hand-waves?
- Is there a clear path from this research to an updated guide or agent?
5. Document Quality
- Is the document free of raw Scout notes (no unprocessed bullet dumps)?
- Is the
Statusline correctly set toDraft — pending review? - Is the document scoped to what was actually researched — no speculation beyond the sources?
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.
- 2mo ago First seen · 165 lines · 25 tokens per session scan A 94a24fe064dd
Research Reviewer is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 1,470 once invoked, about $0.0001 per session on Opus 5.5. 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.
Research Reviewer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Research ReviewerEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 25 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| shadow-auditorAgentWorkforce/relay | Agent | 1.1k | yesterday | Apache-2.0 | A | 27 | Claude Code |
| slop-comment-cleanerluongnv89/skills | Agent | 145 | yesterday | MIT | A | 27 | Claude Code |
| dependency-auditorluongnv89/skills | Agent | 145 | yesterday | MIT | A | 23 | Claude Code |