Civitai is a platform where people share, browse, and discuss Stable Diffusion models and related resources such as textual inversions, hypernetworks, aesthetic gradients, and VAEs. It is for users who create, customize, study, and collaborate on AI-generated images, while its catalogue add-ons provide agent workflows for using the platform.
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 civitai/civitai --skill agent-reviewgit clone --depth 1 https://github.com/civitai/civitaiWrote 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/civitai/civitai/agent-review)<a href="https://agentmods.dev/skills/civitai/civitai/agent-review"><img src="https://agentmods.dev/badge/skills/civitai/civitai/agent-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/civitai/civitai/agent-review"><img src="https://agentmods.dev/badge/skills/civitai/civitai/agent-review.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 | $0.00044 | $0.01473 |
| Opus 5 | $0.00022 | $0.00737 |
| Sonnet 5 | $0.00009 | $0.00295 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
agent-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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Review
Get feedback from an external AI agent. Useful for code review, architecture decisions, or getting a second opinion.
Running Commands
echo "code or prompt" | node .claude/skills/agent-review/query.mjs [options] "Your question"
# or
node .claude/skills/agent-review/query.mjs --file <path> [options] "Your question"
Options
| Flag | Short | Description |
|---|---|---|
--model <model> |
-m |
Model or alias (default: gemini) |
--file <path> |
-f |
Read input from file instead of stdin |
--lines <start-end> |
-l |
Extract specific lines from file (e.g., 50-100) |
--context <path> |
-c |
Additional context file (can repeat) |
--system <prompt> |
-s |
Custom system prompt |
--temperature <n> |
-t |
Temperature 0-1 (default: 0.7) |
--quiet |
-q |
Suppress status messages and usage stats |
--list |
List available models | |
--json |
Output raw JSON response |
Available Models
| Model ID | Aliases | Provider | Notes |
|---|---|---|---|
google/gemini-3-pro-preview |
gemini, g3 |
OpenRouter | Default - good for external perspective |
openai/gpt-5.1-codex |
gpt, codex, gpt5 |
OpenRouter | Strong at code analysis |
anthropic/claude-opus-4.5 |
opus, claude-opus |
Agent SDK | Uses local subscription |
anthropic/claude-sonnet-4.5 |
sonnet, claude |
Agent SDK | Uses local subscription |
Anthropic models route through Claude Agent SDK (uses your Claude subscription).
Other models route through OpenRouter API (requires OPENROUTER_API_KEY).
Environment Variables
| Variable | Required | Description |
|---|---|---|
OPENROUTER_API_KEY |
For non-Anthropic models | OpenRouter API key |
AGENT_REVIEW_DEFAULT_MODEL |
No | Override default model |
Examples
Code Review
# Review a file for security issues
cat src/server/auth.ts | node .claude/skills/agent-review/query.mjs \
"Review this authentication code for security vulnerabilities"
# Review with a specific model (using alias)
node .claude/skills/agent-review/query.mjs -m gpt -f src/utils/parser.ts \
"Review this parser for edge cases and error handling"
What ships with it
2 files 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 · 169 lines · 44 tokens per session scan A 85b6f010756d
agent-review is a skill published in the GitHub repository civitai/civitai (7,243 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 1,473 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 skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
omh-code-review
This is a Hermes-native code-review workflow skill.
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…
go-concurrency-safety
L1 supplement - audits Go-specific concurrency hazards in node client code: map iteration non-determinism, goroutine leaks, mutex ordering, panic boundaries, context cancellation.