agendum CLAUDE.md

Project instructions for agendum, a tool that keeps persistent project memory, a task board, and scoped work packages across coding sessions.

In plain words
What is it for?
Use it to turn a plan into bounded tasks, provide the next task with context, record completed work, and resume later. Skip it for one-line fixes or research without code changes.
Why use it?
It prevents plans, decisions, and unfinished work from being lost between sessions or mixed together during execution.

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/sralli/agendum/claude-md
Clone the repo
git clone --depth 1 https://github.com/sralli/agendum
Per session 761 This file is loaded in full into every session.
When invoked 761 The same file — it is already loaded in full.
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 $0.00761 $0.00761
Opus 5 $0.00380 $0.00380
Sonnet 5 $0.00152 $0.00152
Haiku 4.5 $0.00076 $0.00076

Measured 2d ago against content hash 8148e509c616, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agendum 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 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.

CLAUDE.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agendum

Project memory and scoping engine for AI coding agents. Python 3.13+, uv, FastMCP.

Workflow

agendum augments the harness (Claude Code + superpowers + plan mode). It does NOT compete with it.

Separation of concerns

Concern Owner
Brainstorming & design Superpowers (brainstorming skill)
Planning & task breakdown Superpowers (writing-plans) + plan mode
Subagent dispatch Claude Code Agent tool
Persistent project state agendum
Bounded work packages agendum
Cross-session memory agendum
Project board / backlog agendum

The flow

1. PLAN (harness)    brainstorming → writing-plans → plan file
2. INGEST (agendum)  pm_ingest reads plan → creates bounded board items
3. SCOPE (agendum)   pm_next returns scoped work package with context
4. EXECUTE (harness)  Agent works within the scoped package
5. REPORT (agendum)  pm_done records completion, decisions, patterns
6. RESUME (agendum)  Next session: pm_status → pm_next → continue

When to skip agendum

  • Single-line fixes (typos, version bumps)
  • Pure research/exploration (no code changes)

Quick reference

uv run pytest               # all tests must pass
uv run ruff check src/ tests/  # lint
uv run ruff format .        # format

Architecture

  • 11 MCP tools in tools.py
  • 4 stores: BoardStore, ProjectStore, MemoryStore, LearningsStore
  • Enrichment pipeline: enrichment/pipeline.py + enrichment/sources.py
  • All writes use get_lock() + atomic_write() from store/locking.py
  • Board items: Markdown + YAML frontmatter in .agendum/projects/<project>/board/
  • Global learnings: .agendum/learnings/
  • Memory: .agendum/memory/

Conventions

  • MCP tools: pm_<name> (e.g., pm_add, pm_next, pm_done)
  • Store methods: lowercase verb (create_item, get_item, list_items)
  • Tests: test_<module>.py
  • MCP tools return error strings, never raise exceptions
  • No Co-Authored-By lines in commits
  • Line length: 120 chars

Read the full file on GitHub · 85 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. 2d ago First seen · 85 lines · 761 tokens per session scan A 8148e509c616

Subscribe to this mod's changes

agendum CLAUDE.md is an instructions file published in the GitHub repository sralli/agendum (6 stars, last pushed 4mo ago), licensed MIT. It adds 761 tokens to every session, about $0.0038 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.