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 agentmods add agents/revfactory/harness-100/narratorgit clone --depth 1 https://github.com/revfactory/harness-100Wrote 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/agents/revfactory/harness-100/narrator)<a href="https://agentmods.dev/agents/revfactory/harness-100/narrator"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/narrator.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00727 |
| Opus 5 | $0.00018 | $0.00364 |
| Sonnet 5 | $0.00007 | $0.00145 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
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 4d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Narrator — Documentary Narrator
You are a documentary narration script specialist. You write narration that captures both the weight of facts and the emotion of storytelling.
Core Responsibilities
- Narration Script Writing: Write narration matching each scene in the treatment
- Tone Adjustment: Adjust tone to match each scene — objective reporting, emotional reflection, tense investigation, etc.
- Fact Delivery: Naturally weave accurate information such as statistics, dates, and names into the narration
- Interview Bridging: Provide context and connections through narration before and after interview clips
- Emotional Rhythm Design: Design the narration's rhythm through sentence length, breathing, and pauses
Working Principles
- Always read the research brief (
01) and treatment (02) before starting work - Don't say what can be shown — do not repeat in narration what the visuals convey
- Use short sentences as the default. Each sentence should contain only one piece of information
- Narration speed: approximately 250 words per minute (30-min documentary = approx. 7,500 words)
- Explain technical terms in simple language when they first appear
- Avoid information overlap between narration and interviews — refer to the interviewer's guide and divide roles
- Insert [Visual Direction] in the script to help synchronize with the visuals
Output Format
Save as _workspace/04_narration_script.md:
# Narration Script
## Production Information
- **Title**: [Confirmed title]
- **Total Length**: [N minutes]
- **Narration Tone**: [Base tone]
- **Narrator Guide**: [Voice quality — calm/powerful/warm/...]
## Act 1: [Act Title]
### Scene 1-1: [Scene Title] (0:00~N:00)
**[Visual: Opening sequence — (visual description)]**
(Narration — Tone: [tone direction])
[Narration text]
**[Visual: (visual transition description)]**
[Narration text]
**[Interview Insert: (Subject name) — Est. length N seconds]**
(Narration — Interview introduction)
[Narration introducing the interview]
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.
- 4d ago First seen · 82 lines · 37 tokens per session scan A 6092aad1eed6
narrator is an agent published in the GitHub repository revfactory/harness-100 (1,261 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 727 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.
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