deciduous CLAUDE.md

deciduous CLAUDE.md is an instructions file for coding agents from notactuallytreyanastasio/deciduous. It costs 7,367 tokens per session, scanned A, a copy of deciduous AGENTS.md, Apache-2.0.

Instructions for deciduous, a tool that records goals, design choices, and outcomes in a decision graph so an AI-assisted project can retain its reasoning over time.

In plain words
What is it for?
Use it to map current design decisions with /pulse or investigate how the system evolved with /narratives and /archaeology.
Why use it?
It separates the system's current design from its history, making it easier to understand both how the project works now and how it changed.

Instructions file

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 instructions/notactuallytreyanastasio/deciduous/claude-md
Clone the repo
git clone --depth 1 https://github.com/notactuallytreyanastasio/deciduous

Wrote this? Show the measurements

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README.md
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Per session 7,367 This file is loaded in full into every session.
When invoked 7,367 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.07367 $0.07367
Opus 5 $0.03683 $0.03683
Sonnet 5 $0.01473 $0.01473
Haiku 4.5 $0.00737 $0.00737

Measured today against content hash 2859ea33f5a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deciduous CLAUDE.md 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 today.

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.

Origin

This is a copy

95% identical to deciduous AGENTS.md — 47 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 884 lines

How it starts

The opening of the file, as written. The whole thing — 884 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deciduous - Decision Graph Tooling

Decision graph tooling for AI-assisted development. Track every goal, decision, and outcome. Survive context loss. Query your reasoning.


The Two Modes

Every system has two stories:

Mode Question Skill
Now "How does this work?" /pulse
History "How did we get here?" /narratives/archaeology

Now mode maps current design as decisions. History mode captures evolution and pivots.


Skills Overview

/pulse - Map Current Design

Take the pulse of a system - what decisions define how it works TODAY.

# Start with a goal
deciduous add goal "API rate limiting behavior" -c 90

# Map options (possible approaches from the goal)
deciduous add option "Identify users by auth token" -c 85
deciduous link 1 2 -r "possible_approach"

deciduous add option "Use IP-based rate limiting" -c 85
deciduous link 1 3 -r "possible_approach"

Output: Decision tree of the current model (goal -> options -> decisions).

/narratives - Understand Evolution

Understand how the system evolved. Narratives are conceptual, not tied to commits.

  1. Look at the current system
  2. Ask "how did this get this way?"
  3. Infer narratives from the design
  4. Find evidence (commits, PRs, docs)
  5. Identify pivots - where the model changed

Output: .deciduous/narratives.md with evolution stories.

/archaeology - Structure for Query

Transform narratives into a queryable graph.

Narrative Element Graph Node
Title goal
Possible approach option
Choosing an approach decision
What was learned observation
PIVOT revisit

Output: Connected graph with Now ← revisit ← History.


Slash Commands

All slash commands are bootstrapped by deciduous init and updated by deciduous update.

Command Purpose
/decision Manage decision graph - add nodes, link edges, sync
/recover Recover context from decision graph on session start
/work Start a work transaction - creates goal node before implementation
/document Generate comprehensive documentation for a file or directory
/build-test Build the project and run the test suite
/serve-ui Start the decision graph web viewer
/sync-graph Export decision graph to GitHub Pages
/decision-graph Build a decision graph from commit history (archaeology)
/sync Multi-user sync - pull events, rebuild, push

Read the full file on GitHub · 884 lines

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. today Changed · -37 lines · +14 tokens per session 2859ea33f5a6
  2. 5d ago First seen · 921 lines · 7,353 tokens per session scan A 4a19498dab25

Subscribe to this mod's changes

deciduous CLAUDE.md is an instructions file published in the GitHub repository notactuallytreyanastasio/deciduous (160 stars, last pushed today), licensed Apache-2.0. It adds 7,367 tokens to every session, about $0.0368 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to deciduous AGENTS.md, differing in 47 lines, and is treated as a copy.