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 cyborg-garden/hermes-agent-mt --skill grounded-citationsgit clone --depth 1 https://github.com/cyborg-garden/hermes-agent-mtWrote 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/cyborg-garden/hermes-agent-mt/grounded-citations)<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/grounded-citations"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/grounded-citations/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/cyborg-garden/hermes-agent-mt/grounded-citations"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/grounded-citations.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 | $0.00016 | $0.03038 |
| Opus 5.5 | $0.00006 | $0.01215 |
| Sonnet 5.5 | $0.00003 | $0.00608 |
| Haiku 4.5 | $0.00002 | $0.00304 |
Grade A, and why
grounded-citations 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 today.
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.
`browser_navigate`, or `terminal` (curl, CLIs). This is a copy
86% identical to grounded-citations — 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grounded Citations
Every claim taken from an outside source gets an inline numbered citation and a
Sources: list, Perplexity-style. A ledger script owns the url → [n] mapping
so the numbers and URLs come from retrieval, never from memory — the model only
ever emits small integers it was handed.
For high-stakes work the same ledger doubles as a fact-checking chain: verbatim
quotes are attached to each source (rejected unless they literally appear in
the fetched page text), claims from model knowledge are flagged [unverified],
and verify --evidence fails any draft whose cited sources carry no evidence.
This skill covers answers in chat, written documents (markdown, PDF, docx,
slides), and research reports. It does not cover academic BibTeX pipelines —
for conference papers use the arxiv skill, which this skill
feeds (see references/citation-formats.md).
When to Use
Use whenever an answer or artifact rests on information you fetched rather than knew:
- Research, comparisons, news summaries, "what is the current state of X"
- Any deliverable you write to disk that quotes, paraphrases, or reports outside facts — reports, briefs, docs, decks, wiki pages
- Fact-finding where the user will want to check your work
- Multi-source synthesis where conflicting sources must be attributed
Skip inline citations when the retrieval is incidental to another task — a quick syntax/version lookup mid-coding, casual conversation, creative writing. Mention a URL only if the user would plausibly want the link.
Prerequisites
None beyond the standard toolset. scripts/sources.py is stdlib-only Python 3.
Retrieval comes from whatever is configured: web_search, web_extract,
browser_navigate, or terminal (curl, CLIs).
Ledger location: $HERMES_HOME/cache/citations/ledger.json (profile-aware).
Override per task with --ledger <path> or HERMES_CITATION_LEDGER.
How to Run
S=~/.hermes/skills/research/grounded-citations/scripts/sources.py
python "$S" reset # start a clean ledger
python "$S" add https://example.com/a --title "A" # prints: [1]
python "$S" add https://example.com/b --title "B" # prints: [2]
python "$S" list # ledger table
python "$S" render # Sources: block
python "$S" verify draft.md # catch bad citations
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 258 lines · 16 tokens per session scan A 19fba3a4ceed
grounded-citations is a skill published in the GitHub repository cyborg-garden/hermes-agent-mt (14 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 3,038 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to grounded-citations, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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.
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
booth-purchase-automation
Buy a real BOOTH item: search, add to cart, confirm, pay, download via browser CDP.
auth-guard
An HTTP access-control add-on for protecting a VRChat assistant service exposed on a local network, the public internet, Docker, or behind a reverse proxy. It accepts Bearer tokens, API keys, or URL tokens.