Reproduce Bug
udecode/plate
Systematically reproduce and investigate a bug from a GitHub issue.
Diagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation.
$ npx skills add stevesolun/ctx --skill diagnosing-bugs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install stevesolun/ctx diagnosing-bugs --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/diagnosing-bugs .claude/skills/diagnosing-bugs && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "diagnosing-bugs" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugs into .claude/skills/diagnosing-bugs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagnosing-bugs", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add stevesolun/ctx --skill diagnosing-bugs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install stevesolun/ctx diagnosing-bugs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/diagnosing-bugs .agents/skills/diagnosing-bugs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "diagnosing-bugs" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugs into .agents/skills/diagnosing-bugs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagnosing-bugs", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add stevesolun/ctx --skill diagnosing-bugs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install stevesolun/ctx diagnosing-bugs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/diagnosing-bugs .cursor/skills/diagnosing-bugs && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "diagnosing-bugs" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugs into .cursor/skills/diagnosing-bugs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagnosing-bugs", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/stevesolun/ctx.git --path .agents/skills/diagnosing-bugs--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add stevesolun/ctx --skill diagnosing-bugs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install stevesolun/ctx diagnosing-bugs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/diagnosing-bugs .gemini/skills/diagnosing-bugs && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "diagnosing-bugs" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugs into .gemini/skills/diagnosing-bugs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagnosing-bugs", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install stevesolun/ctx diagnosing-bugsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add stevesolun/ctx --skill diagnosing-bugs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/diagnosing-bugs .github/skills/diagnosing-bugs && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "diagnosing-bugs" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugs into .github/skills/diagnosing-bugs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagnosing-bugs", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add stevesolun/ctx --skill diagnosing-bugs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install stevesolun/ctx diagnosing-bugs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/diagnosing-bugs .opencode/skills/diagnosing-bugs && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "diagnosing-bugs" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/diagnosing-bugs into .opencode/skills/diagnosing-bugs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diagnosing-bugs", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
diagnosing-bugsDiagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation.
Diagnosing Bugs is an agent skill from stevesolun/ctx. Diagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation. Use when something is broken, failing, throwing, intermittently wrong, or unexpectedly slow.
Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/debugging-playbook.md` and `scripts/hitl-loop.template.sh`).
The repository describes itself as: CTX Fit finds the cheapest AI coding setup that reliably works on your repository, then applies the winner as a reviewable change. The licence is MIT.
Read from SKILL.md and the folder at commit 11b582a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Diagnosing Bugs loads about 596 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 293 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from stevesolun/ctx at commit 11b582a, republished under its MIT licence (© stevesolun). 293 words, ~596 tokens.
.claude/skills/diagnosing-bugs/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Start from evidence and adapt the depth of the investigation to the problem. Read relevant repository context and architectural decisions when they exist.
Reproduce the reported symptom with the cheapest signal that distinguishes broken from fixed. A focused test or script is ideal when practical; logs, traces, snapshots, comparisons, or measured timings may be better for other failures. Tighten the loop by improving speed, specificity, and determinism.
If an exact reproduction is unavailable, continue with the strongest evidence available and state the limitation. Request an artifact, access, or temporary instrumentation only when it would materially improve the diagnosis.
For feedback-loop options and debugging tactics, load the
debugging playbook as needed. For a rare
manual reproduction, adapt
scripts/hitl-loop.template.sh.
Minimize the reproducing scenario when doing so will shrink the search space. Form a small ranked set of falsifiable hypotheses from the evidence, then choose probes that best distinguish them. Share hypotheses with the user when their domain knowledge could redirect the investigation; do not make routine progress depend on a checkpoint.
Use targeted instrumentation at boundaries that separate plausible causes. Change as little as practical per probe. For performance regressions, establish a baseline and use profiling, query plans, or bisection before optimizing.
Add a regression test when a stable seam can represent the real failure. If it cannot, explain the coverage gap rather than adding a misleading test. Apply the smallest justified fix, then rerun both the focused signal and relevant nearby checks.
Remove temporary instrumentation and artifacts unless the user wants to retain them. Report the observed cause, the evidence that supports it, what was verified, and any remaining uncertainty. Recommend architectural follow-up only when the diagnosis exposes a concrete recurring weakness.
© stevesolun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in .agents/skills/diagnosing-bugs of stevesolun/ctx.
Open the folder on GitHubat commit 11b582a
Diagnosing Bugs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Diagnosing Bugs this skillstevesolun/ctx | 588 | — | ~596 | Automated safety check: Pass | MIT | |
| Reproduce Bugudecode/plate | 17k | — | ~2k | Automated safety check: Notes | Custom licence | |
| Bug ReproducePrismer-AI/PrismerCloud | 1.6k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Diagnosing Bugsgetsentry/sentry-react-native | 1.8k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Diagnosing Bugsvinvcn/mattpocock-skills-zh-CN | 4.7k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Diagnosing Bugsfossasia/eventyay-interpretation | 1.6k | 32 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
udecode/plate
Systematically reproduce and investigate a bug from a GitHub issue.
Prismer-AI/PrismerCloud
Turn a known bug into a tight, red-capable reproducer, then prove the reproducer locks that bug with a reversal negative control (reintroduce the bug → reproducer must go red again).
getsentry/sentry-react-native
A discipline for hard bugs, flaky tests, CI hangs, native crashes, and performance regressions in this SDK.
vinvcn/mattpocock-skills-zh-CN
面向棘手缺陷和性能回退的诊断循环。适用于用户说 “diagnose” / “debug this”,或报告某些东西 broken、throwing、failing、slow 时。
fossasia/eventyay-interpretation
Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.
getsentry/sentry-dart
A discipline for hard bugs, flaky tests, CI hangs, and performance regressions in this SDK.
stevesolun/ctx
Keeps README badge + inline counts in sync with the real number of skills, agents, graph nodes/edges, communities, converted pipelines, and test inventory.
stevesolun/ctx
Review a Git diff against repository standards and its originating requirements.
stevesolun/ctx
Validate committed feature-branch changes through the no-mistakes pipeline: intent, rebase, review, test, docs, lint, push, PR, and CI.
stevesolun/ctx
Repo-aware recommendation manager for ctx. An agent skill from stevesolun/ctx.
stevesolun/ctx
Design or improve module interfaces using deep-module heuristics.
stevesolun/ctx
Design or audit a repo-local markdown knowledge graph with wiki links, source-code backlinks, drift checks, and searchable sections.
Diagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation. Diagnosing Bugs is an agent skill from stevesolun/ctx. Diagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation.
Diagnosing Bugs fits situations like: something is broken; intermittently wrong; unexpectedly slow.
Run `npx skills add stevesolun/ctx --skill diagnosing-bugs -a claude-code`. Or copy the skill folder (.agents/skills/diagnosing-bugs in stevesolun/ctx) into .claude/skills/diagnosing-bugs in your project. Claude Code loads it when a task matches its description.
Run `npx skills add stevesolun/ctx --skill diagnosing-bugs -a codex`. Or copy the skill folder (.agents/skills/diagnosing-bugs in stevesolun/ctx) into .agents/skills/diagnosing-bugs in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add stevesolun/ctx --skill diagnosing-bugs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/diagnosing-bugs, .gemini/skills/diagnosing-bugs, .github/skills/diagnosing-bugs and .opencode/skills/diagnosing-bugs in your project.
Going by SKILL.md and its folder, Diagnosing Bugs needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Diagnosing Bugs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 596 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 586 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Diagnosing Bugs: Reproduce Bug (udecode/plate, 17k stars), Bug Reproduce (Prismer-AI/PrismerCloud, 1.6k stars), Diagnosing Bugs (getsentry/sentry-react-native, 1.8k stars) and Diagnosing Bugs (vinvcn/mattpocock-skills-zh-CN, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
stevesolun (a GitHub user) maintains it in stevesolun/ctx, which has 588 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 4, 2026.
Source: stevesolun/ctx on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.