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 agentmods add skills/rumotion/ai-agent-project-template/docs-memory-maintainernpx skills add rumotion/ai-agent-project-template --skill docs-memory-maintainergit clone --depth 1 https://github.com/rumotion/ai-agent-project-templateWrote 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/rumotion/ai-agent-project-template/docs-memory-maintainer)<a href="https://agentmods.dev/skills/rumotion/ai-agent-project-template/docs-memory-maintainer"><img src="https://agentmods.dev/badge/skills/rumotion/ai-agent-project-template/docs-memory-maintainer.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 | $0.00036 | $0.00144 |
| Opus 5 | $0.00018 | $0.00072 |
| Sonnet 5 | $0.00007 | $0.00029 |
| Haiku 4.5 | $0.00004 | $0.00014 |
Grade A, and why
docs-memory-maintainer 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 5d 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.
What it actually says
Docs and Memory Maintainer Skill
Read:
AGENTS.mdmemory-bank/00-index.md- Relevant Memory Bank files
- Relevant docs in
docs/
Update policy
Update only what changed.
Prioritize:
memory-bank/activeContext.mdmemory-bank/progress.mdmemory-bank/decisions.mdmemory-bank/systemPatterns.mdmemory-bank/techContext.md
Keep entries concise.
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.
- 5d ago First seen · 27 lines · 36 tokens per session scan A b93c315cc616
docs-memory-maintainer is a skill published in the GitHub repository rumotion/ai-agent-project-template (1 stars, last pushed 15d ago), licensed MIT. It adds 36 tokens to every session and 144 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
llm-wiki
Use when building or maintaining a self-contained personal knowledge base (an LLM wiki) in plain markdown. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki health, auditing article claims against their sources, critiquing a wiki source's reasoning, superseding stale knowledge, 'add to…
authoring-claude-md
Creating and maintaining CLAUDE.md project memory files and .claude/rules/ rule files that provide non-obvious codebase context. Use when (1) creating a new CLAUDE.md for a project, (2) adding architectural patterns or design decisions to existing CLAUDE.md, (3) capturing project-specific conventions that aren't…
mem-search
Search past coding sessions using natural language. Finds relevant observations, decisions, and context from previous work.
project-context
Marks project context as unconfigured until domain constraints, repository quality standards, phase, conventions, and external-resource access are recorded. Use when project-specific context has not yet been configured.
memorize
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering.
upload-debug-memory
Use after resolving a bug, test failure, build failure, CI issue, deployment issue, or framework/API pitfall when the verified lesson should be published to Noosphere for future agents.