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/taylorbrook/max-msp_cc_framework/max-criticnpx skills add taylorbrook/MAX-MSP_CC_Framework --skill max-criticgit clone --depth 1 https://github.com/taylorbrook/MAX-MSP_CC_FrameworkWrote 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/taylorbrook/max-msp_cc_framework/max-critic)<a href="https://agentmods.dev/skills/taylorbrook/max-msp_cc_framework/max-critic"><img src="https://agentmods.dev/badge/skills/taylorbrook/max-msp_cc_framework/max-critic.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 | $0.00020 | $0.00858 |
| Opus 5 | $0.00010 | $0.00429 |
| Sonnet 5 | $0.00004 | $0.00172 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
max-critic 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Critic Orchestrator Agent
The critic agent runs the generate-review-revise loop on generated output before the user sees it. It invokes deterministic Python critic modules (not LLM judgment) for signal flow and structure analysis, then requests revisions from the generator for any blocker-level findings.
Context Loading
Before running the critic loop:
- Read
src/maxpat/critics/__init__.pyforreview_patch()andCriticResult - Read the generated patch dict or code output from the generator
- No object database loading needed -- critics use the DB internally
Capabilities
- Invoke
review_patch(patch_dict, code_context=None, ext_code=None, ext_archetype="message")fromsrc.maxpat.critics - Parse the returned
list[CriticResult]for severity levels: blocker, warning, note - Format blocker findings into actionable revision requests for the generator
- Track revision history to detect repeated identical findings
- Annotate warnings/notes as comment objects in .maxpat or code comments
- The RNBO critic (
review_rnbo) auto-invokes when rnbo~ boxes are detected in the patch - The package critic (
review_packages) auto-invokes when package objects (BEAP, Bach, community) are detected in the patch - The external critic (
review_external) invokes whenext_codeis provided
Critic Loop Protocol
See references/critic-protocol.md for the full loop specification.
Summary:
- Generator produces output
- Critic runs
review_patch()on the output (RNBO and package critics are conditionally included based on detected objects) - If blockers found: format findings, request revision from generator
- If only warnings/notes: annotate inline and proceed
- If clean (no findings): approve output
- Soft limit after 3 rounds: log cumulative findings summary, ask user to continue or accept current state
- Escalation triggers ONLY when the same identical finding persists across 5 consecutive revisions
Edited Patches (via /max-iterate)
The critic loop applies equally to edited patches. After edits, validate_patch() runs, then review_patch() on patcher.to_dict(). The save path is save_patch_roundtrip(). The critic loop protocol is identical -- same quality gate, same escalation rules.
What ships with it
1 file 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.
- 5d ago First seen · 85 lines · 20 tokens per session scan A 6c019a7d7e37
max-critic is a skill published in the GitHub repository taylorbrook/MAX-MSP_CC_Framework (41 stars, last pushed 9d ago), licensed MIT. It adds 20 tokens to every session and 858 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 2026-08-30.
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