Agent skill

Ijfw Dashboard

by FerroxLabs in FerroxLabs/ijfw

Control the IJFW observation dashboard (start/stop/status). An agent skill from FerroxLabs/ijfw.

MITAuto-check passed

Install Ijfw Dashboard

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

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

GitHub CLI
$ gh skill install FerroxLabs/ijfw ijfw-dashboard --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-dashboard .claude/skills/ijfw-dashboard && 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-dashboard
GitHub stars
212
Token cost
~403 tokens
SKILL.md length
117 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Control the IJFW observation dashboard (start/stop/status). An agent skill from FerroxLabs/ijfw.

  • SKILL.md covers Commands, How it works, Platform coverage and Session start
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ijfw Dashboard is an agent skill from FerroxLabs/ijfw. Control the IJFW observation dashboard (start/stop/status). Trigger: 'ijfw dashboard', 'open dashboard', 'show observations', 'dashboard start', 'dashboard stop', 'dashboard status', 'view session activity'.

Its SKILL.md is about 400 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

  • “ijfw dashboard”
  • “open dashboard”
  • “show observations”
  • “/ijfw-dashboard”

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 Dashboard loads about 403 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 117 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~403

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). 117 words, ~403 tokens.

Download SKILL.mdSave it as .claude/skills/ijfw-dashboard/SKILL.md (or your agent's skills folder).
name
ijfw-dashboard
description
Control the IJFW observation dashboard (start/stop/status). Trigger: 'ijfw dashboard', 'open dashboard', 'show observations', 'dashboard start', 'dashboard stop', 'dashboard status', 'view session activity'.

IJFW Dashboard

Local observability dashboard at http://localhost:37891. Shows observations from all platforms (Claude Code, Codex, Gemini) in real time via SSE.

Commands

ijfw dashboard start    # bind port 37891, open browser (unless $CI)
ijfw dashboard stop     # send shutdown, clean up PID + port files
ijfw dashboard status   # show port, uptime, observation count

How it works

  • Port 37891 by default; walks to 37900 if busy. Actual port written to .ijfw/dashboard.port.
  • Reads ~/.ijfw/observations.jsonl (shared ledger across all platforms).
  • SSE delivers new observations within 150ms of ledger append.
  • Single-file HTML viewer -- no React, no build step, no external network.
  • localhost-gated: external requests return 403.

Platform coverage

PlatformWrites observationsReads dashboard
Claude Codeyesyes
Codexyesyes
Geminiyesyes
Cursorview-onlyyes
Windsurfview-onlyyes
Copilotview-onlyyes

Session start

Dashboard observations render at session start via session-start-dashboard.sh. Run ijfw dashboard start to also open the browser view.

© 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-dashboard of FerroxLabs/ijfw.

Open the folder on GitHubat commit eda62f3

Compare with similar skills

Ijfw Dashboard 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 Dashboard compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ijfw Dashboard this skillFerroxLabs/ijfw212—~403Automated safety check: PassMIT
Langsmith ObservabilityOrchestra-Research/AI-Research-SKILLs13k2 repos~2.4kAutomated safety check: PassMIT
ObservabilityBuilderIO/agent-native7.1k—~7.3kAutomated safety check: PassNone
Frontend Observabilitysickn33/agentic-awesome-skills47k1 repos~5.1kAutomated safety check: PassMIT
Ebpf Observabilitysickn33/agentic-awesome-skills47k2 repos~3.3kAutomated safety check: NotesMIT
Python Observabilitywshobson/agents40k—~1.8kAutomated safety check: PassMIT

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More from FerroxLabs/ijfw

All 38 skills in this repo
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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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  • Ijfw Cross Audit

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

    212 GitHub stars~594 tokensUpdated 5 days ago
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  • Ijfw Debug

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Questions about Ijfw Dashboard

What does Ijfw Dashboard do?

Control the IJFW observation dashboard (start/stop/status). An agent skill from FerroxLabs/ijfw. Ijfw Dashboard is an agent skill from FerroxLabs/ijfw. Control the IJFW observation dashboard (start/stop/status).

How do I install Ijfw Dashboard in Claude Code?

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

How do I install Ijfw Dashboard in Codex?

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

Can I use Ijfw Dashboard 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-dashboard -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-dashboard, .gemini/skills/ijfw-dashboard, .github/skills/ijfw-dashboard and .opencode/skills/ijfw-dashboard in your project.

What does Ijfw Dashboard need to run?

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

Does Ijfw Dashboard 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 Dashboard 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 Dashboard use?

Ijfw Dashboard 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 Dashboard use?

About 403 tokens (SKILL.md is roughly 1.6k 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 Dashboard?

Skills that share tags, products or a category with Ijfw Dashboard: Langsmith Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Observability (BuilderIO/agent-native, 7.1k stars), Frontend Observability (sickn33/agentic-awesome-skills, 47k stars) and Ebpf Observability (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.

Who maintains Ijfw Dashboard?

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.