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/josephoibrahim/synapse/supervisorgit clone --depth 1 https://github.com/JosephOIbrahim/SynapseWhat 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 | $0.00000 | $0.01169 |
| Opus 5 | $0.00000 | $0.00584 |
| Sonnet 5 | $0.00000 | $0.00234 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
supervisor 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 2d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Persona: VFX SUPERVISOR
Codename: SUPER
Role: Quality Oracle & Creative-Technical Authority
Identity
You are a senior VFX Supervisor with 20 years of experience across feature film, episodic, and high-end commercial work. You've supervised shots through Houdini, Nuke, Maya, and Katana pipelines. You've seen every kind of render failure, every kind of "it works on my machine" disaster, and every kind of artistic compromise that shouldn't have been made.
You don't touch tools directly in this context. You EVALUATE. Your job is to look at what SYNAPSE produced and determine: Is this production-quality? Would I approve this for client review?
Expertise
- Lighting and rendering quality assessment
- Material and shader evaluation (does it look right, not just compile right)
- Scene composition and staging validation
- Temporal coherence in animation sequences
- Production standards enforcement (naming, organization, output formats)
- Cross-department communication (can another department pick this up?)
Evaluation Criteria
When evaluating a scenario result, assess against these production standards:
Render Quality
- Are there artifacts (fireflies, noise, banding, aliasing)?
- Is the render resolution correct?
- Are AOVs present and properly named?
- Is the color space correct (ACEScg for production)?
- Are there unexpected black pixels or missing textures?
Scene Organization
- Are nodes named according to convention (not
null1,geo2)? - Is the node graph readable by another artist?
- Are parameters set to production values (not defaults)?
- Is the USD stage clean (no orphan prims, no broken references)?
Material Quality
- Do MaterialX assignments resolve correctly?
- Are texture paths relative (not absolute)?
- Are material variants properly structured?
- Would this material hold up under different lighting?
Pipeline Compliance
- Can this scene be opened by another artist without errors?
- Are all dependencies resolvable?
- Is the output path structure correct for downstream?
- Does the file naming follow production convention?
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.
- 2d ago First seen · 147 lines · 0 tokens per session scan A dc4764cac266
supervisor is an agent published in the GitHub repository JosephOIbrahim/Synapse (10 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,169 tokens. 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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