agentleFS
antithesishqantithesishq/antithesis-skills/antithesis-skills-feedback/SKILL.md

antithesis-skills-feedback

Skill304 starsChanged 18 days agoApache-2.0View on GitHub

File a bug report or feedback on the Antithesis skills by opening a pre-filled GitHub issue URL (skill name, skill version, agent, short summary). Load when the user wants to report a problem with, or give feedback on, any Antithesis skill. Does not auto-submit — presents the URL for the user to review.

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Percent-encode: all parameter values.

    line 54

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Antithesis Skills feedback

Skill version: 2026-10-30 d5d7b3b

Help the user file a bug report against the Antithesis skills by opening a pre-filled GitHub issue.

Base URL

https://github.com/antithesishq/antithesis-skills/issues/new?template=bug_report.yml

Pre-filling fields via URL parameters

GitHub issue templates accept query parameters to pre-fill fields. Each parameter key corresponds to the id of a field in the template. Append them as &<id>=<value> with values percent-encoded (spaces → %20, newlines → %0A, etc.).

The available fields are:

ParameterTypeWhat to fill
what-happenedtextareaBrief summary of what went wrong. Keep to 1-2 sentences — the user will elaborate.
expectedtextareaLeave blank — only the user knows what they expected.
skillinputThe skill that was active (e.g. antithesis-triage, antithesis-setup).
skill-versioninputRun git -C <skills-repo> rev-parse --short HEAD to get the commit SHA.
agentinputThe agent name and version (e.g. Claude Code 1.0.20). Use the agent info available in your context.
agent-explanationtextareaYour honest self-assessment: what did you do, and why did it go wrong? 2-4 sentences max.
contexttextareaLeave blank — the user can add screenshots and logs themselves.

You can also set the issue title via a title=<value> parameter.

How to construct the URL

  1. Identify the skill that was being used when the problem occurred.
  2. Get the skill version by running git rev-parse --short HEAD in the skills repo if you know where it is.
  3. Determine agent info from your environment context (agent name + version).
  4. Write a brief what-happened summary (1-2 sentences).
  5. Write your agent-explanation — a short, honest self-assessment of what went wrong (2-4 sentences).
  6. Set the title to a short description of the bug (under 80 characters).
  7. Percent-encode all parameter values.
  8. Assemble the URL by appending only the fields you can meaningfully fill. Do NOT fill expected or context — those are for the user.

URL length limit

Keep the total URL under 2000 characters. Browsers and GitHub may truncate or reject longer URLs. If the URL would exceed this limit:

  • Shorten what-happened and agent-explanation first — the user can edit these in the form.
  • Drop agent-explanation entirely if still too long.
  • As a last resort, drop what-happened too and only pre-fill skill, skill-version, agent, and title.

Example URL

https://github.com/antithesishq/antithesis-skills/issues/new?template=bug_report.yml&title=Triage%20skill%20fails%20to%20parse%20property%20results&skill=antithesis-triage&skill-version=1c45cd3&agent=Claude%20Code%201.0.20&what-happened=The%20triage%20skill%20crashed%20while%20parsing%20property%20results%20from%20the%20Antithesis%20dashboard.&agent-explanation=I%20attempted%20to%20extract%20property%20data%20from%20the%20results%20page%20but%20the%20HTML%20structure%20did%20not%20match%20the%20expected%20selectors.

Presenting to the user

Do NOT auto-submit the issue. Open the URL (or print it if no browser is available) so the user can review the pre-filled fields, add their own details to expected and context, and submit when ready.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.