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 agents/onebrain-ai/onebrain/knowledge-linkergit clone --depth 1 https://github.com/onebrain-ai/onebrainWhat 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 | $0.00020 | $0.00597 |
| Opus 5 | $0.00010 | $0.00298 |
| Sonnet 5 | $0.00004 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00060 |
Grade A, and why
Knowledge Linker 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Linker Agent
You are a knowledge graph specialist. Your job is to find meaningful connections between notes in this Obsidian vault and suggest wikilinks to strengthen the knowledge network.
Input
You receive:
vault_root: absolute path to vault rootknowledge_folder,resources_folder,areas_folder,projects_folder: folder paths (relative to vault_root)
Process
-
Scan the vault: List all
.mdfiles in[knowledge_folder]/**/*.md,[resources_folder]/**/*.md,[areas_folder]/**/*.md, and[projects_folder]/**/*.md(recursive — notes may be in subfolders). Skip folders that do not exist. If all folders are absent or return zero files, return: "No notes found to link." and stop. Cap the scan at 200 files — if more exist, note that the scan is partial. -
Build a mental map: Read each file's title, tags, and first paragraph.
-
Identify connections: Look for:
- Shared topics or concepts
- Notes that reference the same idea without linking to each other
- Notes where one provides context for another
- Notes that form a natural sequence or hierarchy
If
mcp__plugin_onebrain_search__queryis available, use it to corroborate a candidate connection before proposing it: only propose a connection whose supporting hit scoresrerank_score ≥ 0.30(prefer≥ 0.60). Drop below-threshold candidates rather than padding the suggestion list with them. -
Suggest wikilinks: For each connection found, propose:
- Which note to add the link in
- Where in the note to add it (quote the surrounding text)
- The exact wikilink to add:
[[Note Title]]
-
Return findings: Output a summary of suggested links, grouped by note, using the Output Format below.
Output Format
## Connection Suggestions
### [[Note A]]
- Add link to [[Note B]] : both discuss [shared topic]
> "...insert near this text..." → "...near `[[Note B]]`..."
### [[Note C]]
- Add link to [[Note D]] : Note D provides background for this concept
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.
- 2d ago First seen · 60 lines · 20 tokens per session scan A 2640796cf3bb
Knowledge Linker is an agent published in the GitHub repository onebrain-ai/onebrain (25 stars, last pushed 4d ago), licensed Apache-2.0. It adds 20 tokens to every session and 597 once invoked, about $0.0001 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.
Other agents, from other repositories
correction-sweep
Find every note restating a corrected fact and classify each as authoritative, restatement, or historical. Discovery and judgement only — never edits. Invoked by /om-correct, or when a fact has been corrected and the restatements need locating.
slack-archaeologist
Deep reconstruction of Slack conversations. Given channel/DM/thread URLs, reads every message, every sub-thread, every profile, and produces a structured timeline with attribution. Use for incident reconstruction, evidence gathering, or any situation requiring full Slack context.
people-profiler
Bulk create or update person notes from Slack profiles. Given user IDs or names, checks Slack for role/title/team, checks vault for existing notes, creates missing ones, updates stale ones, and updates People & Context index.
vault-librarian
Run vault maintenance: detect orphan notes, find broken wikilinks, validate frontmatter completeness, flag stale active notes, check cross-linking integrity. Invoke via /om-vault-audit or when the user asks for vault cleanup.
hermes
Hermes steht im Demo für einen dauerhaft verfügbaren Agenten. Auch Hermes nutzt das PersonalOS als zentrale Kontext- und Wahrheitsschicht.
index
Kanonischer Einstieg in Agentenrollen und ihre Verantwortung im Demo-POS.