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 skills/supportersimulator/3-surgeons/review-loopnpx skills add supportersimulator/3-surgeons --skill review-loopgit clone --depth 1 https://github.com/supportersimulator/3-surgeonsWrote 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/supportersimulator/3-surgeons/review-loop)<a href="https://agentmods.dev/skills/supportersimulator/3-surgeons/review-loop"><img src="https://agentmods.dev/badge/skills/supportersimulator/3-surgeons/review-loop.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 | $0.00020 | $0.00549 |
| Opus 5 | $0.00010 | $0.00275 |
| Sonnet 5 | $0.00004 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
review-loop 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Loop Mode Selector
Purpose
Before any 3-surgeon cross-exam, determine the appropriate review depth mode based on task risk signals.
Modes
| Mode | Iterations | When |
|---|---|---|
| single | 1 | Config changes, docs, small fixes, <=2 files |
| iterative | up to 3 | Multi-file changes, new features, refactors, 3-10 files |
| continuous | up to 5 | Security, schema, API, architecture, >10 files |
Risk Assessment
Evaluate these dimensions. Highest-risk dimension wins:
| Dimension | single | iterative | continuous |
|---|---|---|---|
| Files changed | 1-2 | 3-10 | >10 |
| Reversibility | Fully | Partially | Hard to reverse |
| Security | None | Internal | External/auth |
| Data impact | Read-only | Schema-preserving | Schema-changing |
| External coupling | None | Internal APIs | Public APIs |
Project-Level Awareness
Some projects warrant deeper review by default. Check:
.3surgeons/config.yamlin project root forreview.depth- Accumulated review outcome weights via
3s review-weights show - Project complexity signals: cross-file deps, security code, submodules
For sustained development on complex projects (e.g., ContextDNA), continuous mode is the natural default.
Intent Mapping (Conversational)
| User says | Maps to |
|---|---|
| "quick review", "just a glance" | single |
| "thorough review", "check carefully" | iterative |
| "loop until satisfied", "full depth", "keep going" | continuous |
| "3-surgeons full" | continuous |
Auto-Depth Behavior
Based on auto_review_depth config:
- off: Always use config default or CLI flag
- suggest: Recommend mode with reasoning, wait for confirmation
- auto: Apply learned weights, user can override anytime
Exit Conditions
- Consensus >= 0.7 on "all issues addressed" → exit loop
- Max iterations reached without consensus → escalate to human with unresolved summary
- User override at any point → respect immediately
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 First seen · 69 lines · 20 tokens per session scan A 0388d8622b6f
review-loop is a skill published in the GitHub repository supportersimulator/3-surgeons (2 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 549 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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