engram-plugin-thin

A set of rules for keeping plugin connections to coding agents such as Claude, OpenCode, Gemini, and Codex small and consistent.

In plain words
What is it for?
Use it when editing plugin hooks, scripts, setup behavior, or memory-capture connections. It helps check that supported agents, configuration paths, shared interfaces, and documentation still work.
Why use it?
It prevents integration scripts from becoming difficult to maintain and helps avoid breaking one agent while changing another.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/gentleman-programming/engram/plugin-thin
Any agent
npx skills add Gentleman-Programming/engram --skill plugin-thin
Clone the repo
git clone --depth 1 https://github.com/Gentleman-Programming/engram

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 201 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00032 $0.00201
Opus 5 $0.00016 $0.00101
Sonnet 5 $0.00006 $0.00040
Haiku 4.5 $0.00003 $0.00020

Measured yesterday against content hash 212f1fe18f6a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

engram-plugin-thin 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 yesterday.

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.

skills/plugin-thin/SKILL.md · 36 lines

What it actually says

When to Use

Use this skill when:

  • Editing plugin hooks/scripts/adapters
  • Adding passive/active memory capture integrations
  • Wiring agent-specific setup behavior

Boundary Rules

  1. Keep adapters thin: parse input, call API/tool, return.
  2. Put complex logic in Go core (store/server/mcp).
  3. Avoid extra runtime dependencies in plugin scripts.
  4. Reuse a shared contract across all supported agents.

Compatibility Checklist

  • Claude Code flow still works
  • OpenCode flow still works
  • Gemini/Codex config paths remain valid
  • Docs reflect real integration behavior
Changes

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.

  1. yesterday First seen · 36 lines · 32 tokens per session scan A 212f1fe18f6a

Subscribe to this mod's changes

engram-plugin-thin is a skill published in the GitHub repository Gentleman-Programming/engram (6,232 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 201 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.

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