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 meeting-action-itemsgit 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/meeting-action-items)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/meeting-action-items"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/meeting-action-items/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/meeting-action-items"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/meeting-action-items.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00015 | $0.00769 |
| Opus 5.5 | $0.00006 | $0.00308 |
| Sonnet 5.5 | $0.00003 | $0.00154 |
| Haiku 4.5 | $0.00002 | $0.00077 |
Grade A, and why
meeting-action-items 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 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.
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.
Copies of this mod
3 near-identical copies found in the catalogue:
- meeting-action-items — 100% identical, 0 lines differ
- meeting-action-items — 100% identical, 0 lines differ
- meeting-action-items — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Action Items
Convert an existing transcript or notes set into accountable follow-through. teams-meeting-pipeline can retrieve Teams artifacts; this skill begins once notes/transcript content is available, from any source.
When to Use
- "Extract action items from this meeting."
- "What did we decide and who owns what?"
- "Draft the follow-up and create tickets."
- "Reconcile these notes with the existing project board."
Don't use for: retrieving meeting recordings or transcripts (use teams-meeting-pipeline or the relevant connector first).
Procedure
1. Establish meeting evidence
Use read_file on the provided notes/transcript files. Identify meeting title/date, participants, source files, transcript completeness, and whether speaker/time references exist. Done when missing portions and low-confidence transcription are stated.
2. Separate evidence types
Extract into distinct lists:
- decisions actually made
- proposals not decided
- explicit commitments
- questions and blockers
- risks and dependencies
- facts/context
Do not turn brainstorming into decisions. Done when each candidate item has a supporting quote, timestamp, page, or note reference when available.
3. Normalize action items
For every commitment record:
| Field | Rule |
|---|---|
| outcome | Concrete result, not a vague topic |
| owner | Explicit named owner; otherwise unresolved |
| due date | Explicit date or unresolved; never invent one |
| dependency | What must happen first |
| acceptance | Observable completion condition |
| source | Transcript/note reference |
Done when every action has supported fields or visible unresolved values.
4. Reconcile existing records
Load the user's tracker connector (notion, github-issues, or whichever system owns the work). Search for matching open items before creating anything — recurring meetings breed duplicate tickets. Preserve conflicts in owner/date/status for confirmation rather than silently overwriting. Done when proposed creates vs updates are distinguished.
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 · 88 lines · 15 tokens per session scan A 1902f782551d
meeting-action-items is a skill published in the GitHub repository NousResearch/hermes-agent (257,063 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 769 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
action-items
Manage your private to-do list for the user. Use to add or update tasks, record what they are waiting on, track blockers, mark tasks complete or canceled, and clean up the list. Not for Dreamers or external task trackers.
batch
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
ghl
Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog.
linear
Read and manage software issues, tickets, projects, and planning data in Linear. Use to review sprints and cycles, identify ticket rollover and release blockers, and update issue status, assignees, priorities, and milestones through Linear's official MCP server.
notion
Search, read, create, and update Notion pages via the Notion MCP.
asana
Plan and track team projects and tasks in Asana. Use to assign work to owners, update due dates and status, set task dependencies, and review project progress, comments, teams, and workspaces through Asana's official MCP server.