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.
git clone --depth 1 https://github.com/16wells/claude-project-setupWrote 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/rules/16wells/claude-project-setup/iterative-memory)<a href="https://agentmods.dev/rules/16wells/claude-project-setup/iterative-memory"><img src="https://agentmods.dev/badge/rules/16wells/claude-project-setup/iterative-memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/16wells/claude-project-setup/iterative-memory"><img src="https://agentmods.dev/badge/rules/16wells/claude-project-setup/iterative-memory.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00347 | $0.00347 |
| Opus 5.5 | $0.00139 | $0.00139 |
| Sonnet 5.5 | $0.00069 | $0.00069 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
iterative-memory 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 1mo 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.
What it actually says
Iterative Memory — Always-On Rule
Memory upkeep is part of the work, not bookkeeping after.
Before responding, ask yourself: did anything just happen that should land in 01-context/state.md, activity-log.md, decisions-log.md, or insights.md? If yes, do that update before continuing.
Trigger → file:
- Decision made (closed or opened) →
decisions-log.md - Finding, quirk, gotcha, or pattern →
insights.md - Step completed (commit, deploy, gate passed, milestone met) →
activity-log.md+state.md - External system state changed (deploy, secret, schedule, data) →
state.md - Pausing for human review →
state.md(Awaiting Human Decision) - Context-window pressure / compaction imminent → full
state.mdflush first - User says "checkpoint" or runs
/checkpoint→ full pass + commit
Commit after each checkpoint, not in batches. Logged-but-uncommitted state doesn't survive thread switches.
Say it out loud when you update a memory file ("logged decision X," "refreshed state.md"). The user needs to see the discipline working — or notice when it isn't.
At session start, read: CLAUDE.md → 01-context/state.md → last 5 activity-log.md entries → open items in decisions-log.md. If state.md is current, chat history shouldn't matter for resumption.
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.
- 1mo ago First seen · 26 lines · 347 tokens per session scan A 1a2043e5506a
iterative-memory is a cursor rule published in the GitHub repository 16wells/claude-project-setup (2 stars, last pushed 12d ago), licensed MIT. It adds 347 tokens to every session, about $0.0014 per session on Opus 5.5. 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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