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 MilkyWay008/Hermes-OTG --skill siyuangit clone --depth 1 https://github.com/MilkyWay008/Hermes-OTGWrote 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/milkyway008/hermes-otg/siyuan)<a href="https://agentmods.dev/skills/milkyway008/hermes-otg/siyuan"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/siyuan/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.
<a href="https://agentmods.dev/skills/milkyway008/hermes-otg/siyuan"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/siyuan.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.02897 |
| Opus 5 | $0.00009 | $0.01448 |
| Sonnet 5 | $0.00003 | $0.00579 |
| Haiku 4.5 | $0.00002 | $0.00290 |
Grade A, and why
siyuan scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
commands: [curl, jq] This is a copy
100% identical to siyuan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SiYuan Note API
Use the SiYuan kernel API via curl to search, read, create, update, and delete blocks and documents in a self-hosted knowledge base. No extra tools needed -- just curl and an API token.
Prerequisites
- Install and run SiYuan (desktop or Docker)
- Get your API token: Settings > About > API token
- Store it in
${HERMES_HOME:-~/.hermes}/.env:SIYUAN_TOKEN=your_token_here SIYUAN_URL=http://127.0.0.1:6806SIYUAN_URLdefaults tohttp://127.0.0.1:6806if not set.
API Basics
All SiYuan API calls are POST with JSON body. Every request follows this pattern:
curl -s -X POST "${SIYUAN_URL:-http://127.0.0.1:6806}/api/..." \
-H "Authorization: Token $SIYUAN_TOKEN" \
-H "Content-Type: application/json" \
-d '{"param": "value"}'
Responses are JSON with this structure:
{"code": 0, "msg": "", "data": { ... }}
code: 0 means success. Any other value is an error -- check msg for details.
ID format: SiYuan IDs look like 20210808180117-6v0mkxr (14-digit timestamp + 7 alphanumeric chars).
Quick Reference
| Operation | Endpoint |
|---|---|
| Full-text search | /api/search/fullTextSearchBlock |
| SQL query | /api/query/sql |
| Read block | /api/block/getBlockKramdown |
| Read children | /api/block/getChildBlocks |
| Get path | /api/filetree/getHPathByID |
| Get attributes | /api/attr/getBlockAttrs |
| List notebooks | /api/notebook/lsNotebooks |
| List documents | /api/filetree/listDocsByPath |
| Create notebook | /api/notebook/createNotebook |
| Create document | /api/filetree/createDocWithMd |
| Append block | /api/block/appendBlock |
| Update block | /api/block/updateBlock |
| Rename document | /api/filetree/renameDocByID |
| Set attributes | /api/attr/setBlockAttrs |
| Delete block | /api/block/deleteBlock |
| Delete document | /api/filetree/removeDocByID |
| Export as Markdown | /api/export/exportMdContent |
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 · 299 lines · 17 tokens per session scan A e62436e6a814
siyuan is a skill published in the GitHub repository MilkyWay008/Hermes-OTG (15 stars, last pushed 28d ago), licensed MIT. It adds 17 tokens to every session and 2,897 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to siyuan, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
distilly
Distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.
hermes-memory-providers
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
hermes-context-optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.