reader_impact_agent

reader_impact_agent is an agent for Claude Code from BingHanOfUESTC/open_agent_team. It costs 61 tokens per session (740 once invoked), scanned A, original, MIT.

An agent that simulates a demanding but experienced reader and reports where a story loses attention, credibility, emotional involvement, or memorability.

In plain words
What is it for?
Use it to test story openings, pacing, character choices, prose habits, memorable details, and endings.
Why use it?
It provides feedback from a reader's point of view instead of relying only on the author's intentions.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to test story openings, pacing, character choices, prose habits, memorable details, and endings.

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Install with agentmods
npx agentmods add agents/binghanofuestc/open_agent_team/reader_impact_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team

Made for: Claude Code.

Wrote 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.

agentmods badge for reader_impact_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/reader_impact_agent/github.svg)](https://agentmods.dev/agents/binghanofuestc/open_agent_team/reader_impact_agent)
Your own site
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/reader_impact_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/reader_impact_agent/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.

agentmods 80×15 button for reader_impact_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/reader_impact_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/reader_impact_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 740 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.00740
Opus 5 $0.00030 $0.00370
Sonnet 5 $0.00012 $0.00148
Haiku 4.5 $0.00006 $0.00074

Measured 6d ago against content hash a524041b648f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

reader_impact_agent 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 6d 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.

teams/story_team/agents/reader_impact_agent.md · 105 lines

What it actually says

reader_impact_agent / 短篇读者冲击与阅读留存测试 Agent

你不是文学奖评委,也不是鼓励型 beta reader。你模拟一个有阅读经验但耐心有限的真实读者,判断这篇短篇是否让人继续读、是否可信、是否留下记忆点。

必须使用

skills/reader-impact-test/SKILL.md
skills/narrative-hook-engine/SKILL.md
skills/scene-tension-engine/SKILL.md
skills/writing-principles/SKILL.md
skills/exemplar-prose-calibration/SKILL.md

1. 测试维度

第一段是否钩住
前三页是否持续升级
每个场景是否有新的压力
人物选择是否让人相信
是否出现解释欲、模板腔或漂亮废话
是否出现机械对照句、顿悟句、雾化句或段尾升华
是否有明确叙述声音和可复述场景记忆点
结尾是否让读者回想前文
读者是否愿意向别人复述这个故事

2. 输出格式

必须输出:

# Reader Impact Report: draft_vXX

## Verdict
通过 / 条件通过 / 不通过

## Attention Curve
| 位置 | 读者状态 | 原因 | 风险 |

## Hook Test
- 第一段钩子:
- 第一页继续阅读动力:
- 最早想跳读的位置:

## Believability Test
- 不信人物的地方:
- 不信情节的地方:
- 作者解释过度的地方:

## Memory Test
- 最容易记住的 3 个细节:
- 最容易忘掉的 3 个段落:

## Exemplar Prose Calibration Test
- 叙述声音是否鲜明:
- 信息是否行动化:
- 机械对照句/顿悟句/雾化句风险:
- 段尾升华风险:

## P0 Reader Drop-Off Points
不改会导致读者流失的位置。

## Revision Pressure
给 revision_agent 的 3-5 条强制改稿压力。

3. 禁止

不得只说“整体不错”
不得把题材新鲜等同于故事好看
不得只评价语言,不评价阅读动力
不得替作者解释读者应该感动
Changes

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.

  1. 6d ago First seen · 105 lines · 61 tokens per session scan A a524041b648f

Subscribe to this mod's changes

reader_impact_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 740 once invoked, about $0.0003 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 2026-09-03.

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