archive

A project memory system that saves session notes, debugging fixes, and deployment records as searchable Markdown files. It keeps an index so later sessions can find and reuse that knowledge.

In plain words
What is it for?
Use it to record major tasks, tricky bugs, deployments, and repeatable procedures, then look them up during future debugging or infrastructure work.
Why use it?
It prevents useful decisions and solutions from being lost when a session ends or the same problem comes back.

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/resciencelab/tryskills/archive
Any agent
npx skills add ReScienceLab/TrySkills --skill archive
Clone the repo
git clone --depth 1 https://github.com/ReScienceLab/TrySkills

Made for: Claude Code, Codex.

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 498 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00065 $0.00498
Opus 5 $0.00032 $0.00249
Sonnet 5 $0.00013 $0.00100
Haiku 4.5 $0.00006 $0.00050

Measured 2d ago against content hash 7c8b4b025bdd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

archive 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.

The scan reads SKILL.md. This mod also ships 1 executable file (hooks/load-memory.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

100% identical to archive — 0 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.

.agents/skills/archive/SKILL.md · 56 lines

What it actually says

Archive Skill

Capture, index, and reuse project knowledge across sessions.

When to Archive

  • After completing a significant task (deploy, migration, major feature)
  • After resolving a tricky debugging session
  • When the user says "archive this"
  • After any multi-step process with learnings worth preserving

When to Consult Archives

  • Before debugging infrastructure, deploy, or CI issues
  • Before repeating a process done in a past session
  • When encountering an error that may have been solved before

Search: grep -ri "keyword" .archive/ Index: .archive/MEMORY.md

Archive Workflow

  1. Read .archive/MEMORY.md — check for related existing archives
  2. Create .archive/YYYY-MM-DD/ directory if needed
  3. Write markdown file with YAML frontmatter (see references/TEMPLATE.md)
  4. Update .archive/MEMORY.md: add one-line entry under the right category
  5. If related archives exist, add related field in frontmatter

Lookup Workflow

  1. Read .archive/MEMORY.md to find relevant entries
  2. Read the specific archive file for detailed context
  3. Apply learnings to current task

Categories

  • infrastructure — AWS, ECS, IAM, networking, secrets, CloudWatch
  • release — TestFlight, versioning, Git Flow, CHANGELOG
  • debugging — Bug fixes, error resolution, gotchas
  • feature — Feature design, implementation notes
  • design — UI/UX, icons, visual design

Rules

  • .archive/ must be in .gitignore — local-only notes
  • Keep entries concise but reproducible
  • Focus on problems, fixes, and exact commands
  • Always update MEMORY.md after creating an archive
  • Use descriptive filenames (e.g., cloudwatch-logging.md not session.md)
  • Include YAML frontmatter with tags, category, and optional related
Files

What ships with it

3 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. 2d ago First seen · 56 lines · 65 tokens per session scan A 7c8b4b025bdd

Subscribe to this mod's changes

archive is a skill published in the GitHub repository ReScienceLab/TrySkills (2 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 498 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to archive, differing in 0 lines, and is treated as a copy.

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