rejection-logger
Captures and logs choices, options, or prompts that the agent evaluated and decided NOT to execute. Use whenever you skip a task, reject an approach, or choose one method over another to provide transparency into your reasoning.
Best use case
rejection-logger is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Captures and logs choices, options, or prompts that the agent evaluated and decided NOT to execute. Use whenever you skip a task, reject an approach, or choose one method over another to provide transparency into your reasoning.
Teams using rejection-logger should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/rejection-logger/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How rejection-logger Compares
| Feature / Agent | rejection-logger | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Captures and logs choices, options, or prompts that the agent evaluated and decided NOT to execute. Use whenever you skip a task, reject an approach, or choose one method over another to provide transparency into your reasoning.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Rejection Logger Transparency isn't just about showing what you did; it's about explaining what you *didn't* do. This skill helps you document rejected paths. ## Core Workflow ### 1. Identify Rejection When you evaluate multiple ways to solve a problem and pick one, or when you decide a user request is unsafe/out of scope, log it. ### 2. Log Entry Append to `.learnings/REJECTIONS.md` (create if missing): ```markdown ## [REJ-YYYYMMDD-XXX] <short_title> **Timestamp**: ISO-8601 **Target**: <What was requested or considered> **Decision**: REJECTED **Reason**: <Why it was rejected (e.g., safety, complexity, better alternative)> **Alternative**: <What was done instead> ``` ## When to Use - When a user asks for something and you say "No" or "I can't". - When you consider two tools and pick one. - When you refactor code and decide against a specific library. ## Benefits - **Audit Trail**: Humans can see your internal deliberation. - **Trust**: Showing rejections proves you are thinking, not just guessing. - **Self-Correction**: Reviewing rejections helps you refine your decision boundaries.
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