# 小白不止步 (@小白不止步) on wechat

- id: koinon:creator:wechat_小白不止步
- url: https://koinonlink.com/kol/wechat/%E5%B0%8F%E7%99%BD%E4%B8%8D%E6%AD%A2%E6%AD%A5
- schema_version: 1.3

## Identity
- platform: wechat
- handle: 小白不止步
- platform_url: https://weixin.sogou.com/weixin?type=1&query=%E5%B0%8F%E7%99%BD%E4%B8%8D%E6%AD%A2%E6%AD%A5
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- posts_observed: 9
- verified: false
- size_tier: nano

## Engagement
- status: not_measurable_on_platform
- status_note: This platform publishes no follower count, so an engagement RATE has no denominator here. No amount of further collection can produce one — it is a property of the platform, not a gap in our data.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Agent evaluation methodology, AI reliability testing, Agent safety and security testing, Task execution and planning evaluation, Prompt injection and fault tolerance testing, Knowledge accuracy and hallucination detection

## Audience (inferred)
- status: present
- description: AI researchers and engineers focused on evaluating autonomous agents, particularly in reliability, safety, and task execution
- roles: automation
- seniority: practitioner
- pain_points: Struggling to design comprehensive test suites for agent hallucination and knowledge reliability, Finding it hard to measure agent planning and task execution accuracy in real-world scenarios, Lacking standardized frameworks for evaluating agent safety and resistance to prompt injection attacks
- posts_analysed: 6
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: platform_default
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [wechat_小白不止步#12c152ca] AI评测方法论 ③:Agent 测评集——是什么、测什么、怎么搭第一版 (https://weixin.sogou.com/weixin?type=1&query=%E5%B0%8F%E7%99%BD%E4%B8%8D%E6%AD%A2%E6%AD%A5)
- [wechat_小白不止步#c68d9009] AI评测方法论 ④:如何评估 Agent 的规划与任务执行能力
- [wechat_小白不止步#4f741dab] AI评测方法论 ⑥:如何设计 Agent 的知识可靠性与幻觉测评集
- [wechat_小白不止步#c8c1f614] AI评测方法论 ⑤:如何评估 Agent 的 Tool 与 Skill 调用准确率
- [wechat_小白不止步#579760d3] AI评测方法论 ⑦:如何测试 Agent 的异常处理与故障恢复能力
- [wechat_小白不止步#af8ee9f3] AI评测方法论 ⑧:如何设计 Agent 的安全、权限与提示词注入测试

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=0, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=0, method=Fixed value 60. This platform exposes no public follower count, so no authenticity heuristic is run at all. The number is a placeholder, not a measurement. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=0, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=0, method=platform_profile

## Freshness
- profile_checked_days_ago: 0
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=wechat_%E5%B0%8F%E7%99%BD%E4%B8%8D%E6%AD%A2%E6%AD%A5
- Request removal: https://koinonlink.com/claim?k=wechat_%E5%B0%8F%E7%99%BD%E4%B8%8D%E6%AD%A2%E6%AD%A5
- Terms: https://koinonlink.com/for-ai