Agent skill

Ijfw Debug

by FerroxLabs in FerroxLabs/ijfw

Root-cause analysis with hypothesis tracking. An agent skill from FerroxLabs/ijfw.

MITAuto-check passedDevelopment

Install Ijfw Debug

skills CLI
$ npx skills add FerroxLabs/ijfw --skill ijfw-debug -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install FerroxLabs/ijfw ijfw-debug --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/ijfw-debug .claude/skills/ijfw-debug && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ijfw-debug
GitHub stars
212
Token cost
~578 tokens
SKILL.md length
267 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Root-cause analysis with hypothesis tracking. An agent skill from FerroxLabs/ijfw.

  • Works in 6 steps: Reproduce → Check recent changes → Isolate → …
  • Tasks that involve Root cause analysis
  • SKILL.md covers Step 1 -- Reproduce, Step 2 -- Check recent changes, Step 3 -- Isolate and Step 4 -- Hypothesize, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ijfw Debug is an agent skill from FerroxLabs/ijfw. Root-cause analysis with hypothesis tracking. Trigger: 'debug', 'broken', 'not working', 'fix this bug', /debug

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Root cause analysis. The repository describes itself as: IJFW — It Just Fcking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow. The licence is MIT.

When your agent uses it

  • Tasks that involve Root cause analysis

Example prompts

  • “broken”
  • “not working”
  • “fix this bug”
  • “/ijfw-debug”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Reproduce
  2. Check recent changes
  3. Isolate
  4. Hypothesize
  5. Fix and Verify
  6. Two-strikes session reset

What it can do on your machine

Read from SKILL.md and the folder at commit eda62f3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ijfw Debug loads about 578 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~578

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from FerroxLabs/ijfw at commit eda62f3, republished under its MIT licence (© FerroxLabs). 267 words, ~578 tokens.

Download SKILL.mdSave it as .claude/skills/ijfw-debug/SKILL.md (or your agent's skills folder).
name
ijfw-debug
description
Root-cause analysis with hypothesis tracking. Trigger: 'debug', 'broken', 'not working', 'fix this bug', /debug

Step 1 -- Reproduce

State the failure in one line: what was expected vs. what happened. Confirm reproducible before proceeding. If intermittent, note conditions.

Step 2 -- Check recent changes

Call ijfw_memory_recall with the symptom. Scan .ijfw/memory/ for decisions or changes from the past 7 days that touch the affected area.

If a recent change correlates with the regression, offer revert first:

Regression likely from <change> on <date>. Revert first? (y/n)

Step 3 -- Isolate

  • Narrow to the smallest reproducing case (file, function, line range).
  • Determine if failure is input-dependent, environment-dependent, or logic-dependent.
  • Read only the specific lines relevant to the hypothesis. No full-file reads.

Step 4 -- Hypothesize

List hypotheses ranked by likelihood:

H1 -- <most likely cause> -- evidence: <why>
H2 -- <next candidate>    -- evidence: <why>
H3 -- <edge case>         -- evidence: <why>

Confirm H1 before testing H2.

Step 5 -- Fix and Verify

Apply the minimal change that addresses the root cause. Do not fix adjacent issues -- log them as follow-ups. Run tests/linter after every fix. Confirm the original symptom is gone and no adjacent regression introduced. Store result: ijfw_memory_store: <what broke>, <root cause>, <fix applied>

Step 6 -- Two-strikes session reset

If two attempts at root-cause fixes both fail to clear the original symptom, stop. Do not try a third on the same hypothesis tree. Summarize in three lines: what you tried, what each attempt revealed, what you now believe is true. Then ask the user:

Two attempts didn't land it. Recommend resetting this session and starting fresh with: "<sharpened prompt>". Accumulated failed context degrades the next attempt; a fresh session with a tighter brief usually clears it on the first try.

Capture the summary in ijfw_memory_store so the next session inherits the lessons without inheriting the noise.

Output format

SYMPTOM:     <one line>
ROOT CAUSE:  <H1 confirmed or revised>
FIX:         <what changed + file:line>
VERIFIED:    yes / needs more testing
FOLLOW-UPS:  <any adjacent issues deferred>

© FerroxLabs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in codex/skills/ijfw-debug of FerroxLabs/ijfw.

Open the folder on GitHubat commit eda62f3

Compare with similar skills

Ijfw 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.

Ijfw Debug compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ijfw Debug this skillFerroxLabs/ijfw212—~578Automated safety check: PassMIT
Code Design Rationale Investigatorcursor/plugins10k9 repos~2.6kAutomated safety check: PassNone
OpenLogi macOS Permissions TriageAprilNEA/OpenLogi23k—~2.5kAutomated safety check: NotesApache-2.0
Bug Finder for daisyUIsaadeghi/daisyui43k—~2.3kAutomated safety check: PassMIT
Root Cause Debugginggarrytan/gstack136k—~1.4kAutomated safety check: PassMIT
Graph-Based Bug Tracingtirth8205/code-review-graph32k1 repos~287Automated safety check: PassMIT

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  • Root Cause Debugging

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More from FerroxLabs/ijfw

All 38 skills in this repo
  • Ijfw Agents Md

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  • Ijfw Design

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  • A skill your agent uses when a milestone is shipping and you need to archive its artifacts, generate a summary, and seed the next milestone.

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  • Ijfw Critique

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    Challenge decisions, surface counter-arguments, flag assumptions.

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  • Ijfw Cross Audit

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    Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact.

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  • Ijfw Milestone Summary

    FerroxLabs/ijfw

    A skill your agent uses when the user asks for a milestone summary, milestone recap, or to summarize a milestone -- or runs /ijfw-milestone-summary.

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Categories

Questions about Ijfw Debug

What does Ijfw Debug do?

Root-cause analysis with hypothesis tracking. An agent skill from FerroxLabs/ijfw. Ijfw Debug is an agent skill from FerroxLabs/ijfw. Root-cause analysis with hypothesis tracking.

When should I use Ijfw Debug?

Ijfw Debug fits situations like: tasks that involve Root cause analysis.

How do I install Ijfw Debug in Claude Code?

Run `npx skills add FerroxLabs/ijfw --skill ijfw-debug -a claude-code`. Or copy the skill folder (codex/skills/ijfw-debug in FerroxLabs/ijfw) into .claude/skills/ijfw-debug in your project. Claude Code loads it when a task matches its description.

How do I install Ijfw Debug in Codex?

Run `npx skills add FerroxLabs/ijfw --skill ijfw-debug -a codex`. Or copy the skill folder (codex/skills/ijfw-debug in FerroxLabs/ijfw) into .agents/skills/ijfw-debug in your project. Codex loads it when a task matches its description.

Can I use Ijfw Debug in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FerroxLabs/ijfw --skill ijfw-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/ijfw-debug, .gemini/skills/ijfw-debug, .github/skills/ijfw-debug and .opencode/skills/ijfw-debug in your project.

What does Ijfw Debug need to run?

SKILL.md names no scripts, command-line tools or credentials: Ijfw Debug is instructions for the agent only.

Does Ijfw Debug access the network?

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.

Is Ijfw Debug safe to install?

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.

What licence does Ijfw Debug use?

Ijfw Debug is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ijfw Debug use?

About 578 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ijfw Debug?

Skills that share tags, products or a category with Ijfw Debug: Code Design Rationale Investigator (cursor/plugins, 10k stars), OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars) and Root Cause Debugging (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ijfw Debug?

FerroxLabs (a GitHub user) maintains it in FerroxLabs/ijfw, which has 212 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 5, 2026.

Source: FerroxLabs/ijfw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.