openlore-housekeeping

openlore-housekeeping is a skill for Claude Code, Codex from aakarim/OpenLore. It costs 48 tokens per session (873 once invoked), scanned A, original, Apache-2.0.

A maintenance procedure for an OpenLore knowledge base, a shared documentation system. It checks documents, links, inbox items, and missing coverage.

In plain words
What is it for?
Use it to flag stale documents, broken internal links, old unpublished inbox items, and skills that the knowledge base does not cover.
Why use it?
It helps find outdated or incomplete team knowledge before it becomes difficult to trust or use.

Skill for Claude CodeCodex

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

Good fit Use it to flag stale documents, broken internal links, old unpublished inbox items, and skills that the knowledge base does not cover.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aakarim/openlore/openlore-housekeeping
About the project

OpenLore is a shared knowledge repository that stores agent context as ordinary Markdown files and makes the same files available to agents, people, and jobs through interfaces such as shell access, web view, and MCP. It is for teams using several agents or repositories that need current, inspectable knowledge with controlled read and write access. The catalogue skills help agents use and manage this repository.

aakarim/OpenLore · 1,561 stars · on GitHub · openlore.sh

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 aakarim/OpenLore --skill openlore-housekeeping
Clone the repo
git clone --depth 1 https://github.com/aakarim/OpenLore

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 openlore-housekeeping

README.md
[![agentmods](https://agentmods.dev/badge/skills/aakarim/openlore/openlore-housekeeping/github.svg)](https://agentmods.dev/skills/aakarim/openlore/openlore-housekeeping)
Your own site
<a href="https://agentmods.dev/skills/aakarim/openlore/openlore-housekeeping"><img src="https://agentmods.dev/badge/skills/aakarim/openlore/openlore-housekeeping/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 openlore-housekeeping

Your own site · 80×15
<a href="https://agentmods.dev/skills/aakarim/openlore/openlore-housekeeping"><img src="https://agentmods.dev/badge/skills/aakarim/openlore/openlore-housekeeping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 873 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 pass 7 Sept 2026
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 $0.00048 $0.00873
Opus 5.5 $0.00019 $0.00349
Sonnet 5.5 $0.00010 $0.00175
Haiku 4.5 $0.00005 $0.00087

Measured 11d ago against content hash 2cb44914ff88, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openlore-housekeeping 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 11d 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.

assets/skills/agents/shellm/openlore-housekeeping/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenLore Housekeeping

Keep a shared knowledge repository healthy. Run each check below, collect findings, and publish one report. Requires the openlore skill (server access via $OPENLORE_SSH).{{if .Mounts}} Documentation is mounted at {{range $i, $m := .Mounts}}{{if $i}}, {{end}}{{$m}}{{end}}; the checks below target {{.Mount}} — repeat them for each mount.{{end}}

Find stale documents

Documents carry frontmatter. Use lore meta to list paths with dates, then flag old ones:

ssh $OPENLORE_SSH "lore meta {{.Mount}} | jq -r 'select(.updated != null) | [.updated, .path] | @tsv' | sort"

Flag anything older than the agreed threshold (default: 90 days). Also flag documents with no frontmatter date at all:

ssh $OPENLORE_SSH "lore meta {{.Mount}} | jq -r 'select(.updated == null) | .path'"

Extract relative Markdown links and check each target exists:

ssh $OPENLORE_SSH "grep -rho ']([^)h][^)]*)' {{.Mount}} | tr -d ']()' | sort -u"

For each path, test it: ssh $OPENLORE_SSH "test -e {{sub .Mount "<target>"}} || echo missing: <target>".

Check the publish inboxes

Items published into an inbox wait for a human to move them into the docset. List what is waiting and how old it is:

ssh $OPENLORE_SSH "find / -type f | grep '/inbox/' | xargs -I{} stat {}"

Flag inbox items older than 7 days: they are stuck and need a human decision.

{{if exists "/trajectories"}}## Check trajectory freshness

This server has a /trajectories docset. Confirm recent agent runs are being synced (ls -l shows modification times):

ssh $OPENLORE_SSH "ls -l /trajectories"

Compare with local ~/.headlong/trajectories/. Sync any completed run that is missing (see the openlore skill for the sync procedure).

{{end}}{{if exists "/skills"}}## Check skill coverage

This server hosts a /skills collection. Verify every skill directory has a SKILL.md:

ssh $OPENLORE_SSH "ls /skills | while read -r d; do test -e /skills/\$d/SKILL.md || echo missing: \$d; done"

Read the full file on GitHub · 93 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. 11d ago Changed · +7 lines 2cb44914ff88
  2. 13d ago Changed 3e0ed092096b
  3. 1mo ago First seen · 86 lines · 48 tokens per session scan A 2653fe7f9fd2

Subscribe to this mod's changes

openlore-housekeeping is a skill published in the GitHub repository aakarim/OpenLore (1,561 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 873 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.