unslop-answers

Audits agent-written reports and findings for unverified claims, fabricated specifics, and missing evidence.

113|17|Updated Oct 5, 2025
One-click install
npx skills add https://github.com/jaktestowac/awesome-copilot-for-testers --skill unslop-answers-jaktestowac
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: unslop-answers
Source: https://github.com/jaktestowac/awesome-copilot-for-testers/tree/main/plugins/unslop-answers/skills/unslop-answers
Command: npx skills add https://github.com/jaktestowac/awesome-copilot-for-testers --skill unslop-answers-jaktestowac

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? AI-generated answers about completed work often claim success without running anything, invent file paths and API names, quote numbers without denominators, and bury blockers under filler. Readers act on these answers and lose time or ship defects. This Skill forces every claim in a report, review, or finding to be evidenced, quantified, or explicitly marked unverified. ## Core Features & Use Cases - Evidence ladder enforcement: Ranks every claim from bare assertion (rung 0) to before-and-after command output (rung 5), requiring unverified claims to name their rung instead of rounding up. - 50-pattern detection catalog: Detects unearned completions, fabricated APIs and terminal output, findings without file:line locations, percentages without denominators, buried blockers, and effort narration, each ranked into three severity tiers. - Claim-to-evidence lookup: Maps recurring QA claims (fixed, tests pass, coverage is N%, flake is fixed, no regression, ready to release) to the exact commands and outputs required to support them. - Use Case: Before sending a bug-fix report, run the audit checklist against the draft to catch a "tests pass" claim that only ran a partial suite, then rewrite it with the actual runner summary line and the skipped tests named. ## Quick Start Audit the answer you are about to send about the fix you just made, flag every claim that was not actually run, and rewrite it with real command output and file:line references.

Frequently Asked Questions about unslop-answers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stop an AI agent from claiming tests pass without running them?▼

Require the evidence ladder: a "tests pass" claim must include the runner's unedited summary line with counts and skips, or be rewritten as "changed, not run". The audit checklist flags any completion claim lacking a command and its actual output.

How do I write a bug fix report with verifiable evidence?▼

Show the failing case before the change and the passing case after it, with real pasted output for both. State what was not run and why in the first lines, and give every finding a file:line location and its cost to the reader.

What makes an AI-generated code review finding unusable?▼

Findings fail when they lack a location, a count, an impact clause, or a next step. "Error handling could be improved" cannot be acted on; a usable finding names the file:line, what breaks, who is affected, and what to do.

When should a root cause be called a hypothesis instead of a fact?▼

Call it a hypothesis until the failure reproduces on demand and reverting the suspected line brings the symptom back. State what would confirm it, such as a reproduction command or a targeted experiment, rather than asserting cause from one reading.

Does this apply to test code quality or only to written answers?▼

It covers only what the agent says: chat replies, reports, findings, commit messages, and docs. Judging whether a test itself proves anything is delegated to the separate unslop-tests skill, and auditing a product feature's factuality goes to reviewing-ai-output-groundedness.