Debug
asgeirtj/system_prompts_leaks
Enable debug logging for this session and help diagnose issues
COMMAND, not reference: Inspect the last execution and chase the failure to one node.
$ npx skills add WeaveMindAI/weft --skill weft-debug -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WeaveMindAI/weft weft-debug --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/WeaveMindAI/weft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-debug .claude/skills/weft-debug && 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 "weft-debug" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debug into .claude/skills/weft-debug/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-debug", 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/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debugType 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 WeaveMindAI/weft --skill weft-debug -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WeaveMindAI/weft weft-debug --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-debug .agents/skills/weft-debug && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weft-debug" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debug into .agents/skills/weft-debug/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-debug", 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 WeaveMindAI/weft --skill weft-debug -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WeaveMindAI/weft weft-debug --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-debug .cursor/skills/weft-debug && 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 "weft-debug" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debug into .cursor/skills/weft-debug/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-debug", 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/WeaveMindAI/weft.git --path tangle/cline/.cline/skills/weft-debug--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 WeaveMindAI/weft --skill weft-debug -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WeaveMindAI/weft weft-debug --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-debug .gemini/skills/weft-debug && 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 "weft-debug" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debug into .gemini/skills/weft-debug/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-debug", 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 WeaveMindAI/weft weft-debugInstalls 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 WeaveMindAI/weft --skill weft-debug -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .github/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-debug .github/skills/weft-debug && 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 "weft-debug" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debug into .github/skills/weft-debug/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-debug", 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 WeaveMindAI/weft --skill weft-debug -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WeaveMindAI/weft weft-debug --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-debug .opencode/skills/weft-debug && 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 "weft-debug" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-debug into .opencode/skills/weft-debug/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-debug", 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.
weft-debugCOMMAND, not reference: Inspect the last execution and chase the failure to one node.
Weft Debug is an agent skill from WeaveMindAI/weft. COMMAND, not reference: Inspect the last execution and chase the failure to one node. Run this when the user asks for this step by name, optionally naming an execution id. The weft- reference skills beside it are things you read; this is a procedure you carry out.
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: A programming language for AI orchestrations.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6e28f31. 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.
No scripts in the folder and no shell commands in SKILL.md.
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.
Weft Debug loads about 620 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 370 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); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 370 words (~620 tokens).
“Debug this project's latest run, or a specific execution id if the user named one. Read the weft-debugging skill if you have not this session.”
Just SKILL.md in tangle/cline/.cline/skills/weft-debug of WeaveMindAI/weft.
Open the folder on GitHubat commit 6e28f31
Weft Debug 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 |
|---|---|---|---|---|---|---|
| Weft Debug this skillWeaveMindAI/weft | 2k | — | ~620 | Automated safety check: Pass | Custom licence | |
| Debugasgeirtj/system_prompts_leaks | 69k | — | ~439 | Automated safety check: Pass | CC0-1.0 | |
| Hypothesis-Driven Debuggingcode-yeongyu/oh-my-openagent | 70k | — | ~3.2k | Automated safety check: Pass | Custom licence | |
| Agent Introspection Debuggingaffaan-m/ECC | 274k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Debugging Toolkitsickn33/agentic-awesome-skills | 47k | 1 repos | ~344 | Automated safety check: Pass | MIT | |
| Debugging Codesickn33/agentic-awesome-skills | 47k | 1 repos | ~3.1k | Automated safety check: Pass | MIT |
asgeirtj/system_prompts_leaks
Enable debug logging for this session and help diagnose issues
code-yeongyu/oh-my-openagent
Runs a hypothesis-driven debugging loop for crashes, hangs and silent failures in any language, grounding every claim in runtime evidence and locking the fix with a test.
affaan-m/ECC
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
sickn33/agentic-awesome-skills
A skill your agent uses when working with debugging toolkit smart debug (Alias for debugging-toolkit-smart-debug)
sickn33/agentic-awesome-skills
Interactively debug source code — set breakpoints, step through execution line by line, inspect live variable state, evaluate expressions against the running program, and navigate the call stack to…
pytorch/pytorch
Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.
WeaveMindAI/weft
Read when the user wants weft itself on their Google Cloud for the first time, or to upgrade or resize the weft already there: getting the user's GitHub and Google Cloud accounts and CLIs ready, the…
WeaveMindAI/weft
Read when the user wants their own website, app, bot or extension to list, show, answer, skip or cancel what a program is waiting on, fetch a file it carries, or show what one of its nodes is…
WeaveMindAI/weft
Read when the user wants weft or a program live for real people on their cloud, asks about prod, a target, --on, a domain or GCP, or a deploy failed: targets and logging in, domains, the deploy…
WeaveMindAI/weft
Read when the user asks what a run costs, or when a node is wired to a paid API weft does not already price: the three pieces of a custom paid service, a meter to copy, and the rules that keep a…
WeaveMindAI/weft
Read when growing a program stage by stage: carving a run, supplying starting values, baking a trigger and firing it without activating, reusing completed work with a seed, freezing an accepted…
WeaveMindAI/weft
Read when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth…
COMMAND, not reference: Inspect the last execution and chase the failure to one node. Weft Debug is an agent skill from WeaveMindAI/weft. COMMAND, not reference: Inspect the last execution and chase the failure to one node.
Weft Debug fits situations like: asks for this step by name; optionally naming an execution id.
Run `npx skills add WeaveMindAI/weft --skill weft-debug -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/weft-debug in WeaveMindAI/weft) into .claude/skills/weft-debug in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WeaveMindAI/weft --skill weft-debug -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/weft-debug in WeaveMindAI/weft) into .agents/skills/weft-debug 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 WeaveMindAI/weft --skill weft-debug -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weft-debug, .gemini/skills/weft-debug, .github/skills/weft-debug and .opencode/skills/weft-debug in your project.
SKILL.md names no scripts, command-line tools or credentials: Weft Debug is instructions for the agent only.
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. Review the folder before installing.
Weft Debug has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 620 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Weft Debug: Debug (asgeirtj/system_prompts_leaks, 69k stars), Hypothesis-Driven Debugging (code-yeongyu/oh-my-openagent, 70k stars), Agent Introspection Debugging (affaan-m/ECC, 274k stars) and Debugging Toolkit (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
WeaveMindAI (a GitHub organization) maintains it in WeaveMindAI/weft, which has 1,994 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 6, 2026.
Source: WeaveMindAI/weft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.