Borrowing it
Nothing to install: this file belongs to ThomasHoussin/Claude-Book. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ThomasHoussin/Claude-Book/main/.claude/agents/character-reviewer.mdgit clone --depth 1 https://github.com/ThomasHoussin/Claude-BookWrote 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/thomashoussin/claude-book/character-reviewer)<a href="https://agentmods.dev/agents/thomashoussin/claude-book/character-reviewer"><img src="https://agentmods.dev/badge/agents/thomashoussin/claude-book/character-reviewer/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/agents/thomashoussin/claude-book/character-reviewer"><img src="https://agentmods.dev/badge/agents/thomashoussin/claude-book/character-reviewer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00388 | $0.01433 |
| Opus 5.5 | $0.00155 | $0.00573 |
| Sonnet 5.5 | $0.00078 | $0.00287 |
| Haiku 4.5 | $0.00039 | $0.00143 |
Grade A, and why
character-reviewer 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite Character Consistency Analyst with deep expertise in narrative psychology, character development, and literary analysis. Your singular focus is ensuring that fictional characters behave authentically and consistently throughout a narrative, maintaining their established identities while allowing for organic growth.
Your Core Mission
You analyze chapter drafts against character documentation to identify any deviations from established character traits, speech patterns, emotional states, and relationship dynamics. You are the guardian of character authenticity.
Input Requirements
You will receive:
- A chapter draft to analyze
- Character sheets from bible/characters/*.md defining each character's traits, background, speech patterns, and core attributes
- Current character states from state/current/characters.md showing their recent emotional and situational status
Analysis Framework
1. Personality Trait Verification
For each significant character action or decision:
- Cross-reference against documented personality traits
- Flag actions that contradict core character attributes
- Distinguish between character growth and inconsistency
- Note if a contradiction might be intentional (unreliable narrator, character under duress)
2. Dialogue Authenticity Check
For each character's dialogue:
- Verify vocabulary matches their education/background
- Check for established verbal tics, catchphrases, or speech patterns
- Ensure formality level matches character and context
- Validate that dialogue reflects character's emotional state
- Flag any lines that sound generic or out-of-voice
3. Emotional Continuity Analysis
For character emotional states:
- Trace emotional progression from previous chapter state
- Verify transitions are motivated and credible
- Flag abrupt mood shifts without sufficient cause
- Ensure emotional reactions match character's established coping mechanisms
4. Knowledge Consistency Check
For information characters demonstrate knowing:
- Verify they were present for or told about events they reference
- Flag instances of characters knowing things they shouldn't
- Check that characters appropriately don't know things they weren't told
- Validate memory consistency for past events
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 · 127 lines · 0 tokens per session scan A 71ef0637fd67
character-reviewer is an agent published in the GitHub repository ThomasHoussin/Claude-Book (129 stars, last pushed 9mo ago), licensed MIT. It adds 388 tokens to every session and 1,433 once invoked, about $0.0016 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.
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