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 Rylaispirit/rylai-codex-hermes-skills --skill content-analysisgit clone --depth 1 https://github.com/Rylaispirit/rylai-codex-hermes-skillsWrote 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/rylaispirit/rylai-codex-hermes-skills/content-analysis)<a href="https://agentmods.dev/skills/rylaispirit/rylai-codex-hermes-skills/content-analysis"><img src="https://agentmods.dev/badge/skills/rylaispirit/rylai-codex-hermes-skills/content-analysis/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/rylaispirit/rylai-codex-hermes-skills/content-analysis"><img src="https://agentmods.dev/badge/skills/rylaispirit/rylai-codex-hermes-skills/content-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00031 | $0.00838 |
| Opus 5.5 | $0.00012 | $0.00335 |
| Sonnet 5.5 | $0.00006 | $0.00168 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
content-analysis 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.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Analysis
Turn source material into a structured explanation of what it says, how it supports its claims, what follows from it, and where uncertainty remains.
Runtime Compatibility
- Resolve local files from the current workspace or this skill directory.
- Use tools available in the active runtime to fetch, transcribe, or inspect the source.
- Verify that extraction or transcription is usable before analyzing details.
- If access is incomplete, describe the exact boundary of the analysis.
Select The Analysis Lens
Choose only the lenses that serve the request:
- Argument: claims, reasons, evidence, and conclusion.
- Editorial: structure, clarity, pacing, framing, and audience fit.
- Research: method, evidence quality, limits, and competing explanations.
- Practical: decisions, habits, procedures, and applications.
- Comparative: agreement, conflict, and differences in assumptions.
- Media: speaker roles, sequence, emphasis, and transcript reliability.
Workflow
-
Identify the source
- Record title, creator, date, format, and available sections when known.
- Distinguish original material from commentary, reposts, and excerpts.
-
Check completeness
- For video or audio, confirm transcript coverage and speaker labels.
- For documents, check page or section coverage.
- For web material, note paywalls, dynamic content, or missing attachments.
-
Map the content
- State the central question or purpose.
- Break the material into major claims, themes, or stages.
- Attach supporting evidence to the claim it is meant to support.
-
Evaluate
- Test whether evidence actually supports the conclusion.
- Identify assumptions, omitted alternatives, contradictions, and ambiguity.
- Separate source statements from your own inference.
-
Extract value
- Rank the strongest insights.
- Convert applicable ideas into concrete actions or questions.
- Preserve important limits and conditions.
What ships with it
1 file 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 First seen · 117 lines · 31 tokens per session scan A 124a5bd723b8
content-analysis is a skill published in the GitHub repository Rylaispirit/rylai-codex-hermes-skills (63 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 838 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 2026-08-30.
Other skills, from other repositories
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.
skill-maintainer
Use when tracking upstream drift and syncing adapted skill libraries.
notebooklm-mode
Source-grounded research pipeline inspired by NotebookLM. Collect verbatim source extracts into a temporary workspace, then answer questions and create deliverables grounded in those sources. Two grounding modes: strict (vault-only) and augmented (vault + labeled [background] knowledge). Trigger when the user asks to…
travel-itinerary
Use when the user needs a business-trip itinerary built, updated, shared, or exported — create, update, sanitize, route, and export structured business-trip itineraries from booking confirmations, emails, tickets, PDFs, screenshots, calendar invites, or notes. Covers day-by-day itinerary generation, privacy-safe…
scheduled-summary
Use when a recurring cross-session digest should be produced and delivered via Hermes cron — aggregates session activity, cron job outputs, memory changes, and tool usage stats into a compact summary for delivery via messaging platforms. Surfaces outstanding tasks and cross-session context that's invisible on chat…