Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 NousResearch/hermes-agent --skill siyuangit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/nousresearch/hermes-agent/siyuan)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/siyuan"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/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/nousresearch/hermes-agent/siyuan"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/siyuan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 15 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 27 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 86 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 97 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 110 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 119 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 128 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 137 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 146 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 155 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 164 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 177 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 186 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 201 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 214 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium MCP Rug Pull · line 293 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 5.5 | $0.00007 | $0.01159 |
| Sonnet 5.5 | $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 1mo 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] Copies of this mod
8 near-identical copies found in the catalogue:
- siyuan — 100% identical, 0 lines differ
- siyuan — 100% identical, 44 lines differ
- siyuan — 100% identical, 0 lines differ
- siyuan — 100% identical, 0 lines differ
- siyuan — 95% identical, 9 lines differ
- siyuan — 94% identical, 5 lines differ
- siyuan — 94% identical, 5 lines differ
- siyuan — 94% identical, 5 lines differ
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.
- 1mo ago First seen · 299 lines · 17 tokens per session scan A e62436e6a814
siyuan is a skill published in the GitHub repository NousResearch/hermes-agent (256,867 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 2,897 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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