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 | $0.00015 | $0.00419 |
| Sonnet 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 10d 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.
- 10d 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 (55 stars, last pushed 27d ago), licensed MIT. It adds 31 tokens to every session and 838 once invoked, about $0.0002 per session on Opus 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
deep-research
Autonomous multi-step deep research engine implementing an iterative Think → Search → Extract → Synthesize → Stop loop. The LLM drives every decision: what to search, what's relevant, what's missing, and when to stop. Produces a cited, magazine-quality report with inline citations, category- specific formatting, and…
image-studio
Generate, edit and upscale AI images via fal.ai through a three-stage studio workflow — brainstorm a strong prompt with the user, prototype cheaply and iterate on feedback, then produce a finalised image. Use when the user wants image generation or editing through the local fal.ai helper workflow, including requests…
skill-maintainer
Track upstream drift and sync adapted skill libraries.
clips-studio
Use when the user wants to "make a video/clip", "generate a video from text", "animate this image/photo", "create a marketing reel / social video / teaser", "do a 3D / parallax move", "pan/zoom/orbit a shot", or mentions fal.ai, Kling, Veo or Seedance for video. Staged fal.ai workflow — brainstorm, draft cheaply…
library-rag
Semantic search over a personal library using Nemotron-3-Embed-1B embeddings + sqlite-vec. Index books, documents, any text corpus; query by meaning. Includes EPUB→Markdown conversion and MCP server for auto-available search tools.
website-scraping
Generic playbook for extracting structured data from any website — hotel prices, flight fares, e-commerce listings, real estate, jobs, competitor product catalogues, anything where the goal is to turn one or more URLs into clean records on disk. Use this skill whenever the user mentions scraping, harvesting…