Agent claims success without evidence? Inspect command results
Give a text AI completed command output and exit codes to draft a table of successful, failed and unknown outcomes for human review. This is a drafting exercise; the source used GitHub Copilot.
Execution environment and usage
AI / software
General text chat (example: Claude)
Where to operate
A general text-AI conversation; for example, a new chat on the Claude website where available. This is a text exercise, not an agent run.
Getting started
- Open an authorized text-chat tool; Claude’s web entry is claude.ai.
- Paste the relevant text from completed command output and exit codes and the prompt below; request a table of successful, failed and unknown outcomes.
Setup and plan requirements
Prepare shareable, de-identified completed command output and exit codes; paste only relevant excerpts. An available chat account and allowance are needed; Claude also has location and age requirements. This exercise needs no connector or execution permission from the original source workflow. The chat can produce the text draft. Any later checks of actual files, screens, audio or test results require a person, suitable software and existing outputs. Mark checks unverified when those outputs are absent.
Prompt portability limits
Questions and supplied text can be adapted to another capable chat tool. This produces a draft, not file access, code execution, account connections or the original operational outcome.
Usage limitations
The source reports GitHub Copilot. This page adapts it into a table of successful, failed and unknown outcomes, not a completed automated workflow in that product. Follow the checks below; source outcomes do not establish this exercise’s results.
Environment sources
適用情境 / When to use
Give a text AI completed command output and exit codes to draft a table of successful, failed and unknown outcomes for human review. This is a drafting exercise; the source used GitHub Copilot. This is a failure report in particular environments.
步驟 / Steps
- Prepare an authorized sandbox, reproducible command and logs without secrets.
- Collect command, directory, output, errors and exit status before proposing changes.
- Compare against actual results; mark unfinished runs or missing exit status unknown.
提示詞 / Prompt
Analyze [completed command logs], separating command, environment, output, errors, exit status and missing information. Use evidence only; mark unfinished runs unknown. Propose a minimal read-only check for approval. Do not execute commands, change settings or revert code.
留意事項 / Cautions
- Silence does not establish success or failure.
- Do not automatically retry commands with side effects.
來源限制 / Evidence limits
This is a historical report. A June 2026 accepted answer identifies old powerlevel10k versions as one cause and discusses mitigations; it is not a finding about every current setup. We have not tested the fixes.
流程說明 / Workflow note
These steps and prompts are original, untested exercises by this site, not the author’s verbatim workflow. Reported results do not guarantee exercise outcomes.
原始工具組合 / Original tool stack
GitHub Copilot; VS Code; terminal
Source publication date: 2025-06-01
Source checked: 2026-10-19