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/pixartseu/synapse/code-reviewernpx skills add PIXARTSeu/Synapse --skill code-reviewergit clone --depth 1 https://github.com/PIXARTSeu/SynapseWrote 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/pixartseu/synapse/code-reviewer)<a href="https://agentmods.dev/skills/pixartseu/synapse/code-reviewer"><img src="https://agentmods.dev/badge/skills/pixartseu/synapse/code-reviewer.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 | $0.00130 | $0.01116 |
| Opus 5 | $0.00065 | $0.00558 |
| Sonnet 5 | $0.00026 | $0.00223 |
| Haiku 4.5 | $0.00013 | $0.00112 |
Grade A, and why
code-reviewer 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
6 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.
- 4d ago First seen · 120 lines · 130 tokens per session scan A d8185a120158
code-reviewer is a skill published in the GitHub repository PIXARTSeu/Synapse (8 stars, last pushed 8d ago), with no licence file. It adds 130 tokens to every session and 1,116 once invoked, about $0.0006 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.
Other skills, from other repositories
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.
map-fast
Minimal workflow for small, low-risk changes — no planning, no learning.
airtable-webhooks
Receive and verify Airtable webhooks. Use when setting up Airtable webhook handlers, debugging X-Airtable-Content-MAC signature verification, handling the thin-ping notification, or fetching base changes (tableData, tableFields, tableMetadata add/remove/update) from the webhook payloads API.
code-that-fits-in-your-head
Software-engineering heuristics based on Mark Seemann's Code That Fits in Your Head (2021), updated for agent-driven development. Use when writing or reviewing code, refactoring accidental complexity or a Big Ball of Mud, controlling technical or architectural debt in generated code, designing APIs and invariants…
unreal-gas
Expert guide for Unreal Engine 5.x Gameplay Ability System (GAS) C++ development. Covers AbilitySystemComponent, GameplayAbilities, GameplayEffects, Attributes/AttributeSets, GameplayTags, GameplayCues, AbilityTasks, prediction/replication, and common patterns. Use when the user asks about GAS, gameplay abilities…
refactoring
Safe, test-backed code restructuring in small steps.