Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dodo-reach/hermes-link-curatornpx agentmods add skills/dodo-reach/hermes-link-curator/skill-link-curator-dashboardWrote 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/dodo-reach/hermes-link-curator/skill-link-curator-dashboard)<a href="https://agentmods.dev/skills/dodo-reach/hermes-link-curator/skill-link-curator-dashboard"><img src="https://agentmods.dev/badge/skills/dodo-reach/hermes-link-curator/skill-link-curator-dashboard/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/dodo-reach/hermes-link-curator/skill-link-curator-dashboard"><img src="https://agentmods.dev/badge/skills/dodo-reach/hermes-link-curator/skill-link-curator-dashboard.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 | $0.00028 | $0.02589 |
| Opus 5.5 | $0.00011 | $0.01036 |
| Sonnet 5.5 | $0.00006 | $0.00518 |
| Haiku 4.5 | $0.00003 | $0.00259 |
Grade A, and why
link-curator-dashboard 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 2mo 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.
sleep 2 && curl -s --max-time 3 http://localhost:8090/health How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Link Curator Dashboard — Maintenance Skill
Service overview
The link-curator dashboard is a FastAPI app running on port 8090, separate from the official Hermes dashboard (hermes dashboard, default port 9119). It reads from the vault at <profile-dir>/vault/ and exposes a read-only web UI.
Process inventory
# Find all dashboard processes
lsof -nP -iTCP:8090 -sTCP:LISTEN
# Check the command
ps -p <pid> -o pid,command
# Check working directory (macOS)
lsof -a -p <pid> -d cwd
# Check working directory (Linux)
readlink /proc/<pid>/cwd
Current layout (verify with ps aux | grep "8090"):
- The dashboard process typically runs
uvicorn main:app --port 8090from<profile-dir>/dashboard/ - The process working directory is authoritative — do not assume the path matches the skill's description if multiple dashboard instances exist
- This dashboard is a separate process from the official Hermes dashboard (the
hermes dashboardcommand, default port 9119). They are independent and can run side-by-side.
Key paths
| Component | Path |
|---|---|
| Dashboard app | <profile-dir>/dashboard/ |
| Main app entry | <profile-dir>/dashboard/main.py |
| Vault parser | <profile-dir>/dashboard/archive.py |
| Templates | <profile-dir>/dashboard/templates/ |
| Vault | <profile-dir>/vault/ |
Endpoints
| Endpoint | Purpose |
|---|---|
GET / |
Dashboard UI |
GET /health |
Health check + entry count |
GET /stats |
Tag counts, date distribution |
GET /reload-cache |
Force-clear and reload vault cache |
GET /calendar |
Calendar view |
GET /search?q=... |
Search entries |
GET /tag/{tag} |
Entries for a specific tag |
GET /day/YYYY-MM-DD |
Entries for a specific day |
GET /day-json/YYYY-MM-DD |
JSON feed for a day |
GET /graph |
Force-directed graph view (HTML + D3.js) |
GET /graph-json |
Graph dataset as {nodes, links} JSON |
Caching — automatic
archive.py uses mtime-based invalidation — no lru_cache, no manual invalidation needed:
What ships with it
5 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.
- 2mo ago First seen · 226 lines · 28 tokens per session scan A 84a7e16a7f2c
link-curator-dashboard is a skill published in the GitHub repository dodo-reach/hermes-link-curator (145 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 2,589 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 2026-08-30.
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.
background-task
Add or modify work that runs outside the request/response cycle — emails, document ingestion, webhooks, cleanups, scheduled jobs. Use when something is slow or fire-and-forget, or when adding a periodic/cron task. This project's queue is {{ cookiecutter.backgroundtasks }}.
channel-bot
Work with messaging-channel bots (Telegram / Slack) — register a bot, route inbound messages through the AI agent, handle webhooks vs polling, or add a new channel adapter. Use when wiring chat into a messaging platform or debugging bot delivery.
mnemosyne-memory-override
Stricter, user-selected override that forces Mnemosyne for all durable memory storage, including small standing rules. Apply it only when the user has consciously chosen this policy; installation, this skill appearing in the skills index, or an ordinary memory task is not that choice. Without it, the default applies…
fastcrud
Use when building or modifying CRUD endpoints with FastCRUD (the fastcrud PyPI package) in a FastAPI project — covers FastCRUD, crudrouter, EndpointCreator, FilterConfig, JoinConfig, auto-relationship detection, the filter operator syntax (gte, in, ilike, etc.), cursor pagination, soft delete, and how to avoid N+1…