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.
npx skills add ChloeVPin/open-agent-skills --skill knowledge-maintenancegit clone --depth 1 https://github.com/ChloeVPin/open-agent-skillsWrote 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/skills/chloevpin/open-agent-skills/knowledge-maintenance)<a href="https://agentmods.dev/skills/chloevpin/open-agent-skills/knowledge-maintenance"><img src="https://agentmods.dev/badge/skills/chloevpin/open-agent-skills/knowledge-maintenance.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00987 |
| Opus 5 | $0.00020 | $0.00494 |
| Sonnet 5 | $0.00008 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00099 |
Grade A, and why
knowledge-maintenance 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 8d 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.
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.
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.
- 8d ago First seen · 69 lines · 41 tokens per session scan A 3cc341d49aa9
knowledge-maintenance is a skill published in the GitHub repository ChloeVPin/open-agent-skills (2 stars, last pushed 2d ago), with no licence file. It adds 41 tokens to every session and 987 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
pace-knowledge
Use for PACEflow knowledge/thoughts notes, finding-to-knowledge extraction, correction knowledge links, and Obsidian frontmatter/L0-L2 note structure.
context-continuity-handoff
Preserves useful state across long agent sessions, context compaction, handoffs, and restarts. Use when compressing context, handing work between agents, resuming after interruption, writing session summaries, or preventing repeated work.
gjalla-onboard
Set up gjalla for rich coding agent telemetry and insights as well as durable memory to improve your metrics. Use when asked to install, set up, onboard, or backfill gjalla.
k-knowledge
Instructions for recording stable project facts in AGENTS.md or a project map. AGENTS.md is a file that stores guidance for coding agents.
k-reconcile
A project-mapping and context-calibration guide that uses the current code and authoritative project facts as its reference.
wiki
LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model).