report

A report generator for reviewing recurring weaknesses over a chosen period, such as a week, month, quarter, or all history.

In plain words
What is it for?
Use it to find high-frequency issues, view category and priority breakdowns, track progress, review related interviews, and create a weekly improvement plan.
Why use it?
It gathers repeated problems, their severity, trends, and improvement status in one report instead of requiring manual review.

Command for Claude Code

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.

agentmods
npx agentmods add commands/huifer/claude-code-interview/report
Clone the repo
git clone --depth 1 https://github.com/huifer/claude-code-interview

Made for: Claude Code.

Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 370 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00013 $0.00370
Opus 5 $0.00006 $0.00185
Sonnet 5 $0.00003 $0.00074
Haiku 4.5 $0.00001 $0.00037

Measured 2d ago against content hash b6a6ab86e3ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

report 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.

.claude/commands/weakness/report.md · 64 lines

What it actually says

不足分析报告生成

正在生成综合不足分析报告...

使用方法

/weakness/report [period]

时间周期 (period)

  • all - 全部历史(默认)
  • week - 最近一周
  • month - 最近一个月
  • quarter - 最近一个季度

报告内容

报告将包含以下部分:

执行摘要

  • 报告周期
  • 生成时间
  • 追踪不足总数
  • 重复出现数量
  • 未改善数量

🔴 高频重复问题

  • 列出出现频率最高的问题
  • 显示出现次数、严重性、趋势
  • 说明影响范围

📊 类别分布

  • 按类别统计不足数量
  • 显示占比和优先级均值
  • 表格形式呈现

📈 趋势分析

  • 各类不足的出现频率趋势
  • 改善进展统计
  • 状态转换情况

🎯 改进计划

  • 按周分解的改进任务
  • 优先级排序
  • 预期成果

📊 统计图表

  • 不足优先级分布(饼图)
  • 出现频率分布(柱状图)
  • 改善进度趋势(折线图)

🔗 相关面试

  • 列出相关的面试记录
  • 便于回顾和对比

请指定时间周期(all/week/month/quarter),或直接按回车生成全部历史报告。

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. 2d ago First seen · 64 lines · 13 tokens per session scan A b6a6ab86e3ce

Subscribe to this mod's changes

report is a command published in the GitHub repository huifer/claude-code-interview (23 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 370 once invoked, about $0.0001 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.