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 frgmstr/hermes-manager --skill hermes-profile-distributiongit clone --depth 1 https://github.com/frgmstr/hermes-managerWrote 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/frgmstr/hermes-manager/hermes-profile-distribution)<a href="https://agentmods.dev/skills/frgmstr/hermes-manager/hermes-profile-distribution"><img src="https://agentmods.dev/badge/skills/frgmstr/hermes-manager/hermes-profile-distribution/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/frgmstr/hermes-manager/hermes-profile-distribution"><img src="https://agentmods.dev/badge/skills/frgmstr/hermes-manager/hermes-profile-distribution.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 | $0.02892 |
| Opus 5.5 | $0.00006 | $0.01157 |
| Sonnet 5.5 | $0.00003 | $0.00578 |
| Haiku 4.5 | $0.00002 | $0.00289 |
Grade A, and why
hermes-profile-distribution 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.
1. Create repo: `curl -X POST /user/repos` (Bearer token). The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 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.
- 1mo ago Changed · +1 lines 7beb94bd64d5
- 1mo ago First seen · 130 lines · 16 tokens per session scan A 11f3b7d85e73
hermes-profile-distribution is a skill published in the GitHub repository frgmstr/hermes-manager (11 stars, last pushed 19d ago), with no licence file. It adds 16 tokens to every session and 2,892 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 2026-08-31.
Other skills, from other repositories
platform-distribution-advisor
Recommends the best platforms for distributing a finished piece of content, with a ranked list and a brief rationale for each recommendation based on the content type, format, length, and intended audience.
publication-timing-advisor
Recommends the best day and time to publish a piece of content based on the content type, platform, and intended audience — without requiring access to live analytics data.
multi-channel-publishing
Use when repurposing long-form content into channel-specific formats — LinkedIn posts, conference abstracts, podcast briefs, newsletter summaries, tweet threads, or spoken scripts. Encodes compression methodology, channel format rules, evidence density calibration, and audience adaptation. Produces channel-ready…
multi-channel-publishing
Use when repurposing long-form content into channel-specific formats — LinkedIn posts, conference abstracts, podcast briefs, newsletter summaries, tweet threads, or spoken scripts. Encodes compression methodology, channel format rules, evidence density calibration, and audience adaptation. Produces channel-ready…
atomicmail
Read and write email through the Atomic Mail from an AI agent. Handles proof-of-work authentication and JMAP so the agent thinks in JMAP method calls. Use when the user asks to register an email inbox, list mailboxes, fetch or send email.
hermesoffice-decks
Produce presentations in HermesOffice Slides — the plandeck/generatedeck pipeline, native element editing, and the templates/decks style specs (modern, elegant, professional, keynote-speaker, minimal, tech-dark, investor-pitch, workshop). Load for any request that creates or restyles a deck.