compound

A session-learning tool that reviews the current coding session, searches earlier sessions, and records useful lessons and recurring patterns.

In plain words
What is it for?
Use it after a task to capture lessons, identify problems in skills or shared guidance, and improve future coding workflows.
Why use it?
It helps prevent the same mistakes from happening again by connecting new findings with past work and documenting prevention steps.

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/wrannaman/agentic-engineering/compound
Any agent
npx skills add wrannaman/agentic-engineering --skill compound
Clone the repo
git clone --depth 1 https://github.com/wrannaman/agentic-engineering

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 202 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 $0.00024 $0.00202
Opus 5 $0.00012 $0.00101
Sonnet 5 $0.00005 $0.00040
Haiku 4.5 $0.00002 $0.00020

Measured yesterday against content hash aaab7321dcc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

compound 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/core/compound/SKILL.md · 29 lines

What it actually says

Compound

This skill uses shared progressive-disclosure references.

Required Load Order

  1. Read references/index.md
  2. Read references/common.md
  3. Read references/session-compound.md

Execution Contract

  • Follow session-compound.md for the full step-by-step workflow.
  • Apply routing, issue filing, and retrieval-led KB targeting from common.md.
  • Keep this wrapper thin; do not duplicate shared process details here.
  • If a rule applies to multiple compound skills, update shared references instead of this wrapper.

Output Requirements

  • Provide an evidence-backed findings table.
  • Include actions taken: skill issues, KB issues, learnings, hooks.
  • Include workflow optimization conclusions and prevention actions.
Files

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.

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 · 29 lines · 24 tokens per session scan A aaab7321dcc2

Subscribe to this mod's changes

compound is a skill published in the GitHub repository wrannaman/agentic-engineering (2 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 202 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 2026-08-31.

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