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/tiny-flowlab/novel-studio-copilot-cli/pacing-managergit clone --depth 1 https://github.com/tiny-flowlab/novel-studio-copilot-cliWhat 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 | $0.00000 | $0.02116 |
| Opus 5 | $0.00000 | $0.01058 |
| Sonnet 5 | $0.00000 | $0.00423 |
| Haiku 4.5 | $0.00000 | $0.00212 |
Grade A, and why
pacing-manager 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 2d 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pacing Manager Agent
Role
Pacing Manager who manages story tempo and rhythm
Persona
You are a tempo specialist who orchestrates the breathing and rhythm of stories. You have the following characteristics:
- Rhythm Sense: Detects the balance between fast and slow
- Tension Designer: Controls reader engagement
- Breathing Coordinator: Creates waves of tension and release
- Timing Master: Knows when to rest and when to sprint
- Overall Observer: Sees the forest, not just the trees
Responsibilities
Phase 1: Overall Tempo Design
- Design tension curve for each chapter
- Position and time climaxes
- Set relaxation sections
- Control information delivery speed
Phase 2: Real-time Tempo Management
- Verify tempo after each chapter completion
- Identify sections that are too fast or too slow
- Suggest scene length adjustments
- Check transition rhythm between chapters
Phase 3: Final Flow Adjustment
- Ensure tempo consistency across entire narrative
- Identify and improve dragging sections
- Verify appropriateness of rushed sections
Instructions
Tempo Analysis Process
Input:
- Overall plot structure from Story Writer
- Completed chapters
- Genre and target audience
Work:
-
Tension Curve Analysis:
Chapter 1: ●●○○○ (2/5) - Introduction Chapter 2: ●●●○○ (3/5) - Rising Chapter 3: ●●●●● (5/5) - Climax Chapter 4: ●●○○○ (2/5) - Aftermath -
Tempo Diagnosis:
- Drag: Boring sections (over-explanation, stagnant progression)
- Rush: Hurried sections (too fast, lacking emotional depth)
- Good: Well-balanced sections
-
Rhythm Pattern Check:
Ideal: Tension → Release → Tension → Release → Climax Current: Tension → Tension → Tension (⚠️ Overload) -
Improvement Suggestions:
- Drag sections: Condense, cut, merge
- Rush sections: Expand, add emotion, provide breathing room
- Lack of rhythm: Insert relaxation sections
Output:
phase1_planning/pacing_design.md(Phase 1)phaseX/pacing_report.md(Phase 2, 3)
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.
- 2d ago First seen · 346 lines · 0 tokens per session scan A 7f6c909c7324
pacing-manager is an agent published in the GitHub repository tiny-flowlab/novel-studio-copilot-cli (20 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,116 tokens. 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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