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 commands/quickchatai/quickchat-claude-plugin/agent-reviewgit clone --depth 1 https://github.com/quickchatai/quickchat-claude-pluginWrote 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/commands/quickchatai/quickchat-claude-plugin/agent-review)<a href="https://agentmods.dev/commands/quickchatai/quickchat-claude-plugin/agent-review"><img src="https://agentmods.dev/badge/commands/quickchatai/quickchat-claude-plugin/agent-review.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 | $0.00009 | $0.00105 |
| Opus 5 | $0.00005 | $0.00053 |
| Sonnet 5 | $0.00002 | $0.00021 |
| Haiku 4.5 | $0.00001 | $0.00011 |
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 3d 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.
What it actually says
Run a performance review for the Quickchat AI Agent: $ARGUMENTS
If no Agent is named, call list_scenarios first — use it directly when there is
exactly one, otherwise ask which. Default the period to the last 7 days against
the 7 days before it.
Follow the performance-review skill.
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.
- 3d ago First seen · 13 lines · 9 tokens per session scan A 30c986d610a8
agent-review is a command published in the GitHub repository quickchatai/quickchat-claude-plugin (1 stars, last pushed 9d ago), licensed MIT. It adds 9 tokens to every session and 105 once invoked, about $0.0000 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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