New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Ijfw Cross Audit

by FerroxLabs in FerroxLabs/ijfw

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

MITAuto-check passed

Install Ijfw Cross Audit

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

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

GitHub CLI
$ gh skill install FerroxLabs/ijfw ijfw-cross-audit --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-cross-audit .claude/skills/ijfw-cross-audit && 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-cross-audit
GitHub stars
212
Token cost
~594 tokens
SKILL.md length
152 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Detect artifact. Accept: diff, file… → Detect auditors. Check PATH for codex… → Dispatch in parallel via background bash… → …
  • SKILL.md covers Execution, Report format rule (all… and Output contract
  • Calls codex and gemini

What it does

Ijfw Cross Audit is an agent skill from FerroxLabs/ijfw. Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit

Its SKILL.md is about 590 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: 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.

Example prompts

  • “cross audit”
  • “Trident”
  • “second opinion”
  • “/ijfw-cross-audit”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Detect artifact. Accept: diff, file path, brief text, or HEAD~1..HEAD.
  2. Detect auditors. Check PATH for codex and gemini.
  3. Dispatch in parallel via background bash -- never hand off to user.
  4. Reconcile. Deduplicate. Classify
  5. Emit report using the format below.

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

    Shell commands in SKILL.md call:

    • codex
    • gemini

    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 Cross Audit loads about 594 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~594

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). 152 words, ~594 tokens.

Download SKILL.mdSave it as .claude/skills/ijfw-cross-audit/SKILL.md (or your agent's skills folder).
name
ijfw-cross-audit
description
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit

Execution

  1. Detect artifact. Accept: diff, file path, brief text, or HEAD~1..HEAD. If none provided, ask once: What should I audit? (diff, file, or paste text)

  2. Detect auditors. Check PATH for codex and gemini. Default: one OpenAI-family + one Google-family, excluding caller's family. Cap at 4 auditors total.

  3. Dispatch in parallel via background bash -- never hand off to user. Prompt each: security findings, logic issues, reliability concerns, test gaps.

    bash
    codex "Review for security, logic, reliability, test gaps: <artifact>" &
gemini "Review for security, logic, reliability, test gaps: <artifact>" &
wait

  4. Reconcile. Deduplicate. Classify:

    • CONSENSUS -- flagged by 2+ auditors
    • CONTESTED -- flagged by 1 auditor only
    • PASS -- no issues

  5. Emit report using the format below.

Report format rule (all cross-audit outputs)

Any reconciliation report presenting multiple paths MUST use this structure:

VERDICT
  <one-line converged recommendation>

OPTIONS
  A -- <short-name>: <one-line what it is>
  B -- <short-name>: <one-line what it is>

REVIEWER CONVERGENCE
  <reviewer>:  <letter>  <score>  "<their call>"  => Option <letter> -- <name>

RECOMMENDATION
  Option <X> -- <name> because <one-sentence why>.

NEXT ACTION
  <exact command or step>

Never write "Option A" or "Option B" without "-- name" immediately after it on the same line.

Output contract

Emit a gate-result block as the LAST content of your output. Nothing after it. Use gate="cross-audit". Statuses: PASS | CONDITIONAL | WARN | FLAG | FAIL.

Format:

gate-result
{
  "schema_version": "1.0",
  "gate": "cross-audit",
  "status": "<STATUS>",
  "project_type": "<from project-type-detector>",
  "lenses": [],
  "affected_artifacts": [],
  "accounting": {"duration_ms": 0, "lenses_invoked": 0, "cost_usd": null},
  "remediation": [],
  "receipts_ref": null,
  "supersedes": null,
  "gate_id": "<gate-with-colons-replaced-by-dashes>-<ts>-<rand4>",
  "emitted_at": "<ISO-8601>"
}

© 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-cross-audit of FerroxLabs/ijfw.

Open the folder on GitHubat commit eda62f3

Compare with similar skills

Ijfw Cross Audit 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 Cross Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ijfw Cross Audit this skillFerroxLabs/ijfw212—~594Automated safety check: PassMIT
Diffsopenclaw/openclaw392k4 repos~461Automated safety check: PassMIT
Accesslint Diffsickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT
Diff Reviewnexu-io/open-design100k—~508Automated safety check: PassApache-2.0
Diff Analyzeruvnet/ruflo74k—~450Automated safety check: NotesMIT
Binary Diffsickn33/agentic-awesome-skills47k1 repos~2.1kAutomated safety check: PassMIT

Similar skills

  • Diffs

    openclaw/openclaw

    Use the diffs tool to produce real, shareable diffs (viewer URL, file artifact, or both) instead of manual edit summaries.

    392k GitHub starsUsed in 4 repos~461 tokens
    Auto-check passed

  • Accesslint Diff

    sickn33/agentic-awesome-skills

    Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name] to diff against a branch.

    47k GitHub starsUsed in 1 repo~1.2k tokens
    Frontend & DesignAuto-check passed

  • Diff Review

    nexu-io/open-design

    Render the patch-edit run's accumulated changes as a reviewable diff, surface it through a GenUI choice surface, and persist the user's accept / reject decision into the artifact manifest.

    100k GitHub stars~508 tokensUpdated today
    Frontend & DesignAuto-check passed

  • Diff Analyze

    ruvnet/ruflo

    Analyze git diffs for risk scoring, reviewer recommendations, and change classification.

    74k GitHub stars~450 tokensUpdated today
    DevelopmentAuto-check: notes

  • Binary Diff

    sickn33/agentic-awesome-skills

    Cross-version binary symbol migration: diff updated binaries, recover function names without PDBs, and propagate annotations after software updates using BinDiff-style tooling.

    47k GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check passed

  • Browser Screenshot Diff

    ruvnet/ruflo

    Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification

    74k GitHub stars~623 tokensUpdated today
    Testing & QAAuto-check: notes

More from FerroxLabs/ijfw

All 38 skills in this repo

  • Ijfw Agents Md

    FerroxLabs/ijfw

    Maintain canonical AGENTS.md (open spec). An agent skill from FerroxLabs/ijfw.

    212 GitHub stars~2.7k tokensUpdated 5 days ago
    Auto-check passed

  • Ijfw Design

    FerroxLabs/ijfw

    A skill your agent uses when the user says: 'design', 'redesign', 'UI', 'UX', 'dashboard', 'page', 'component', 'make it look better', 'polish', 'pretty', 'professional', 'user experience'…

    212 GitHub stars~2.2k tokensUpdated 5 days ago
    Auto-check passed

  • Ijfw Complete Milestone

    FerroxLabs/ijfw

    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.

    212 GitHub stars~1.5k tokensUpdated 5 days ago
    Auto-check passed

  • Ijfw Critique

    FerroxLabs/ijfw

    Challenge decisions, surface counter-arguments, flag assumptions.

    212 GitHub stars~1.2k tokensUpdated 5 days ago
    Auto-check passed

  • Ijfw Debug

    FerroxLabs/ijfw

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

    212 GitHub stars~578 tokensUpdated 5 days ago
    Auto-check passed

  • 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.

    212 GitHub stars~1.5k tokensUpdated 5 days ago
    Auto-check passed

Questions about Ijfw Cross Audit

What does Ijfw Cross Audit do?

Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Ijfw Cross Audit is an agent skill from FerroxLabs/ijfw. Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact.

How do I install Ijfw Cross Audit in Claude Code?

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

How do I install Ijfw Cross Audit in Codex?

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

Can I use Ijfw Cross Audit 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-cross-audit -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-cross-audit, .gemini/skills/ijfw-cross-audit, .github/skills/ijfw-cross-audit and .opencode/skills/ijfw-cross-audit in your project.

What does Ijfw Cross Audit need to run?

Going by SKILL.md and its folder, Ijfw Cross Audit needs the command-line tools its instructions call (codex and gemini).

Does Ijfw Cross Audit 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 Cross Audit 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 Cross Audit use?

Ijfw Cross Audit 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 Cross Audit use?

About 594 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.

What are the alternatives to Ijfw Cross Audit?

Skills that share tags, products or a category with Ijfw Cross Audit: Diffs (openclaw/openclaw, 392k stars), Accesslint Diff (sickn33/agentic-awesome-skills, 47k stars), Diff Review (nexu-io/open-design, 100k stars) and Diff Analyze (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ijfw Cross Audit?

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.