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 hassancs91/claude-image-generation --skill story-narratorgit clone --depth 1 https://github.com/hassancs91/claude-image-generationWrote 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/hassancs91/claude-image-generation/story-narrator)<a href="https://agentmods.dev/skills/hassancs91/claude-image-generation/story-narrator"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-image-generation/story-narrator/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/hassancs91/claude-image-generation/story-narrator"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-image-generation/story-narrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 21 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00194 | $0.02569 |
| Opus 5 | $0.00097 | $0.01285 |
| Sonnet 5 | $0.00039 | $0.00514 |
| Haiku 4.5 | $0.00019 | $0.00257 |
Grade A, and why
story-narrator 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 12d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story Narrator
Turns a story (already split into scenes) into a set of expressive narration clips — one MP3 per scene — using the ElevenLabs MCP. Each clip is saved as {slug}_part_NN.mp3 so it pairs by index with the scene's image: scene 3's picture and scene 3's narration play together in the final storybook.
When this skill applies
{slug}_scenes.json exists (from scene-splitter) and the user wants per-scene audio. Also applies if the user pastes a story and asks to narrate it — split it first (or narrate paragraph-by-paragraph).
The skill does NOT apply to:
- A single short utterance (call
text_to_speechdirectly). - Real-time conversational TTS, music, or sound effects.
- Voice cloning (do that separately in ElevenLabs, then bring the
voice_idhere).
Required tool — the ElevenLabs MCP
The skill calls mcp__elevenlabs__text_to_speech. Confirm it's available before Stage 4. If the MCP isn't connected, tell the user to install it (uvx elevenlabs-mcp with ELEVENLABS_API_KEY set — see https://github.com/elevenlabs/elevenlabs-mcp) and stop. Stages 1–3 (voice choice + narration script) work without it; only generation needs it.
Key text_to_speech parameters this skill uses:
text— the scene's narration textvoice_id(orvoice_name) — the chosen storyteller voicemodel_id— see Stage 2 (default a v3 model for audio-tag expressiveness; fall back toeleven_multilingual_v2)stability—0.4–0.5for natural, expressive delivery (lower = more emotional range)style— small positive value (e.g.0.2) adds expressiveness;0is flatoutput_directory— set to the story's audio folder so files land in the right place
The MCP saves the file and returns its path — it names the file itself, so this skill renames each result to the locked {slug}_part_NN.mp3 convention after generation (Stage 5).
Workflow — five stages with one hard gate
Stage 0: Load scenes.json
Read {slug}_scenes.json. Treat each scene's text as one narration clip. Use each scene's mood to guide delivery/tag choices. The clip for scenes[i].index = N becomes {slug}_part_NN.mp3.
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.
- 12d ago First seen · 129 lines · 194 tokens per session scan A b188295aaf73
story-narrator is a skill published in the GitHub repository hassancs91/claude-image-generation (92 stars, last pushed 25d ago), licensed MIT. It adds 194 tokens to every session and 2,569 once invoked, about $0.0010 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.
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