archive-docs

An archive workflow for completed milestone files and infrastructure reports that keeps the full engineering history. It also includes a cleanup mode for enforcing a three-layer registry structure.

In plain words
What is it for?
It is for archiving milestone artifacts and reports, or reorganizing registries into the required three-layer pattern.
Why use it?
It removes finished material from active work areas without losing the record of how the project developed.

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/bparlan/omp-agent/archive-docs
Any agent
npx skills add bparlan/omp-agent --skill archive-docs
Clone the repo
git clone --depth 1 https://github.com/bparlan/omp-agent

Made for: Claude Code, Codex.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,421 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin unknown 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 $0.00029 $0.03421
Opus 5 $0.00015 $0.01710
Sonnet 5 $0.00006 $0.00684
Haiku 4.5 $0.00003 $0.00342

Measured 2d ago against content hash a6d8d12a0010, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

archive-docs scanned grade C with 2 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 (structure-cleanup.sh), 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

find . -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:8000 | head -20
skills/archive-docs/SKILL.md · 449 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 449 lines · 29 tokens per session scan C a6d8d12a0010

Subscribe to this mod's changes

archive-docs is a skill published in the GitHub repository bparlan/omp-agent (38 stars, last pushed 3d ago), with no licence file. It adds 29 tokens to every session and 3,421 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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