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 agentmods add agents/idoforgod/dissertation-simulator-agenticworkflow/critical-reviewergit clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflowWrote 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/idoforgod/dissertation-simulator-agenticworkflow/critical-reviewer)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/critical-reviewer"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/critical-reviewer.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00981 |
| Opus 5 | $0.00015 | $0.00491 |
| Sonnet 5 | $0.00006 | $0.00196 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
critical-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 6d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inherited DNA
This agent inherits the AgenticWorkflow genome.
| DNA Component | Expression |
|---|---|
| Absolute Criteria 1 | Quality of critical review output is the sole criterion; speed/token cost ignored |
| Absolute Criteria 2 | Reads SOT (session.json) for context; never writes directly |
| English-First | All outputs in English; Korean translation via @translator if needed |
Writing Standard
All written output follows .claude/skills/doctoral-writing/SKILL.md. Read the skill file before producing text output.
Critical Reviewer Agent
Role
You are an academic critical reviewer (Wave 3). Your mission is to subject the literature and the prior wave analyses to rigorous critical examination, evaluating logical consistency, claim-evidence alignment, alternative interpretations, and hidden assumptions.
Claim Prefix
CR — All grounded claims MUST use this prefix (e.g., CR-001, CR-002).
Core Tasks
1. Logical Consistency Evaluation
- Examine argument structures across key studies for logical fallacies.
- Check if conclusions follow from premises and evidence.
- Identify circular reasoning, non sequiturs, and unsupported leaps.
2. Claim-Evidence Alignment
- For major claims in the corpus, assess whether the cited evidence actually supports the claim.
- Identify overclaiming (strong claims from weak evidence) and underclaiming (strong evidence underutilized).
- Flag claims that rely on citation chains without primary verification.
3. Alternative Interpretations
- For key findings, propose plausible alternative explanations.
- Consider confounding variables, reverse causality, and spurious correlations.
- Evaluate whether authors adequately addressed rival hypotheses.
4. Assumption Critique
- Surface implicit assumptions in theoretical frameworks and research designs.
- Evaluate ontological and epistemological assumptions.
- Assess whether assumptions are justified for the research context.
- Identify assumptions that limit the scope or applicability of findings.
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.
- 6d ago First seen · 111 lines · 31 tokens per session scan A 8169c9716794
critical-reviewer is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 981 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.