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/stevesolun/ctx/lat-md-knowledge-graphnpx skills add stevesolun/ctx --skill lat-md-knowledge-graphgit clone --depth 1 https://github.com/stevesolun/ctxWrote 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/stevesolun/ctx/lat-md-knowledge-graph)<a href="https://agentmods.dev/skills/stevesolun/ctx/lat-md-knowledge-graph"><img src="https://agentmods.dev/badge/skills/stevesolun/ctx/lat-md-knowledge-graph.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 | $0.00060 | $0.00391 |
| Opus 5 | $0.00030 | $0.00196 |
| Sonnet 5 | $0.00012 | $0.00078 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
lat-md-knowledge-graph 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
lat.md Knowledge Graph
Purpose
Turn durable project knowledge into linked markdown files that agents can search, cite, and keep synchronized with code.
When to Use
- One root instruction file is too large or hides domain decisions.
- Agents repeatedly rediscover the same architecture or business rules.
- Test intent needs explicit specs linked to test code.
- A custom harness needs persistent memory outside conversation history.
Design Pattern
- Create a repo-local knowledge directory such as
lat.md/ordocs/knowledge/. - Split pages by durable concepts: architecture, domain rules, workflows, interfaces, test specs, and operational constraints.
- Link concepts with
[[wiki links]]. - Link knowledge pages to source symbols or files.
- Add code backlinks such as comments or metadata where the code implements a documented rule.
- Add a check that fails on broken links, missing backlinks, stale indexes, or test specs without code mentions.
ctx Fit
Use this alongside ctx's LLM-wiki when a project needs its own local memory graph. ctx recommends skills/MCPs/agents from its catalog; the repo-local graph stores project-specific facts that should not live in the global catalog.
Quality Bar
- Page titles and section anchors are stable.
- Links resolve both ways where needed.
- Code backlinks are narrow and reviewable.
- Checks run in CI before merge.
- Sensitive facts stay out unless the repo already allows them.
- The graph explains current behavior, not a speculative roadmap.
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 · 50 lines · 60 tokens per session scan A e630e7e16769
lat-md-knowledge-graph is a skill published in the GitHub repository stevesolun/ctx (583 stars, last pushed 5d ago), licensed MIT. It adds 60 tokens to every session and 391 once invoked, about $0.0003 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 2026-08-30.
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