ai-memory-durable-pages

ai-memory-durable-pages is a skill for Claude Code, Codex from akitaonrails/ai-memory. It costs 62 tokens per session (2,220 once invoked), scanned A, original, MIT.

A skill for deliberately changing ai-memory’s durable wiki pages. It covers saving permanent or temporary project knowledge, recording rules, updating notes, and deleting pages.

In plain words
What is it for?
Use it when a user asks to remember project knowledge, save a temporary note, add an annotation, update a memory, or remove one.
Why use it?
It distinguishes information meant to persist from ordinary session context, reducing accidental notes and ensuring requested memories are stored correctly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when a user asks to remember project knowledge, save a temporary note, add an annotation, update a memory, or remove one.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akitaonrails/ai-memory/ai-memory-durable-pages
About the project

ai-memory is a shared long-term memory system for coding agents that preserves project knowledge, unfinished work, failed approaches, and open questions across tools and machines. It is used by individual developers and teams to hand work between different coding agents and continue projects without repeating the context.

akitaonrails/ai-memory · 15,226 stars · on GitHub

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.

Any agent
npx skills add akitaonrails/ai-memory --skill ai-memory-durable-pages
Clone the repo
git clone --depth 1 https://github.com/akitaonrails/ai-memory

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ai-memory-durable-pages

README.md
[![agentmods](https://agentmods.dev/badge/skills/akitaonrails/ai-memory/ai-memory-durable-pages/github.svg)](https://agentmods.dev/skills/akitaonrails/ai-memory/ai-memory-durable-pages)
Your own site
<a href="https://agentmods.dev/skills/akitaonrails/ai-memory/ai-memory-durable-pages"><img src="https://agentmods.dev/badge/skills/akitaonrails/ai-memory/ai-memory-durable-pages/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.

agentmods 80×15 button for ai-memory-durable-pages

Your own site · 80×15
<a href="https://agentmods.dev/skills/akitaonrails/ai-memory/ai-memory-durable-pages"><img src="https://agentmods.dev/badge/skills/akitaonrails/ai-memory/ai-memory-durable-pages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,220 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 5
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Excessive Agency · line 69
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 5.1 $0.00062 $0.02220
Opus 5.5 $0.00025 $0.00888
Sonnet 5.5 $0.00012 $0.00444
Haiku 4.5 $0.00006 $0.00222

Measured yesterday against content hash 6b9572fee9f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-memory-durable-pages 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.

crates/ai-memory-core/src/routing_skills/ai-memory-durable-pages/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ai-memory durable pages

Use this skill only for deliberate durable wiki mutations. Routine session capture is automatic, and permanent notes require an explicit user request.

Tools in this cluster

  • memory_resolve_write_target validates and canonicalizes an exact existing writable destination without creating or changing it. Bulk importers use it before their first write.
  • memory_write_page writes or replaces a durable wiki page for permanent project knowledge.
  • memory_write_pages_batch writes a bounded set of complete page versions atomically for a bulk importer. Every entry must be conditional; do not use it for routine notes.
  • memory_patch_page atomically changes named Markdown sections in an existing page without re-emitting its frontmatter or unrelated body.
  • memory_delete_page removes a durable wiki page by exact path.
  • memory_restore_page lists a page's checkpoints (no rev) or writes an earlier version back (with rev), including a deleted page. It is admin only on a multi-user server and does not reach scope: "profile" pages.

Writing durable memory

Write a page only when the user explicitly asks to remember something permanently, save a note, add an annotation, or record project knowledge. Do not use durable pages for transient progress, normal status updates, or next-session context.

Put the page title as a # H1 on the first line of the body and omit the separate title argument. ai-memory derives the title from that H1. Keep the content concise and fact-like, with enough context that a future agent can apply it without rereading the whole session.

Optional top-level metadata: kind (64 characters), entities (10 names, 64 characters each, normalized and deduplicated), abstract (1,024 characters), and relations (an object mapping causes, fixes, or contradicts to page target arrays, 32 targets total, 1,024 characters each). Relation targets use path, project:path, or workspace/project:path; extensionless page paths resolve with .md, and scope components must already be trimmed. A page that describes repository files can name them in source_files: up to 16 {path, commit} entries, each a repository-relative /-separated path and the 7-64 hex commit (git rev-parse HEAD) the page was checked against. The server never reads those files; when one changed since its commit, a client records memory_feedback with signal: "stale", and rewriting the page with the new commit clears the flag. Limits apply to raw values before trimming, normalization or deduplication. Arbitrary frontmatter and author fields are not editable. Every memory_write_page call replaces the whole page and its metadata; omitted fields are cleared. Read the current page first when preserving existing content matters, and pass its returned page_id as expected_page_id so a concurrent change fails without writing. Use create_only: true when the page must not already exist; do not combine the two preconditions.

Read the full file on GitHub · 125 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. yesterday Changed · +12 lines 6b9572fee9f8
  2. 2d ago Changed · +3 lines 918a5cedbc8e
  3. 7d ago Changed · +13 lines 554d2adcbe1b
  4. 21d ago Changed · +3 lines 8771edcc5e52
  5. 23d ago Changed 8337b9677bd7
  6. 29d ago Changed · +12 lines 2f4547e376a1
  7. 1mo ago Changed · +12 lines 8dbb743965c7
  8. 2mo ago Changed · +5 lines 3a19ec1f0f62
  9. 2mo ago First seen · 65 lines · 62 tokens per session scan A 80643e44309a

Subscribe to this mod's changes

ai-memory-durable-pages is a skill published in the GitHub repository akitaonrails/ai-memory (15,226 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 2,220 once invoked, about $0.0002 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 2026-08-30.

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ai-memory-durable-pages next to 6 skills from other repositories
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