Langsmith Observability
Orchestra-Research/AI-Research-SKILLs
LLM observability platform for tracing, evaluation, and monitoring.
Control the IJFW observation dashboard (start/stop/status). An agent skill from FerroxLabs/ijfw.
$ npx skills add FerroxLabs/ijfw --skill ijfw-dashboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-dashboard --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/FerroxLabs/ijfw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/ijfw-dashboard .claude/skills/ijfw-dashboard && 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 "ijfw-dashboard" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboard into .claude/skills/ijfw-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-dashboard", 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/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboardType 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 FerroxLabs/ijfw --skill ijfw-dashboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-dashboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/codex/skills/ijfw-dashboard .agents/skills/ijfw-dashboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ijfw-dashboard" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboard into .agents/skills/ijfw-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-dashboard", 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 FerroxLabs/ijfw --skill ijfw-dashboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-dashboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/codex/skills/ijfw-dashboard .cursor/skills/ijfw-dashboard && 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 "ijfw-dashboard" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboard into .cursor/skills/ijfw-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-dashboard", 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/FerroxLabs/ijfw.git --path codex/skills/ijfw-dashboard--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 FerroxLabs/ijfw --skill ijfw-dashboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-dashboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/codex/skills/ijfw-dashboard .gemini/skills/ijfw-dashboard && 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 "ijfw-dashboard" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboard into .gemini/skills/ijfw-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-dashboard", 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 FerroxLabs/ijfw ijfw-dashboardInstalls 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 FerroxLabs/ijfw --skill ijfw-dashboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .github/skills && cp -r skills-src/codex/skills/ijfw-dashboard .github/skills/ijfw-dashboard && 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 "ijfw-dashboard" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboard into .github/skills/ijfw-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-dashboard", 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 FerroxLabs/ijfw --skill ijfw-dashboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-dashboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/codex/skills/ijfw-dashboard .opencode/skills/ijfw-dashboard && 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 "ijfw-dashboard" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-dashboard into .opencode/skills/ijfw-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-dashboard", 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.
ijfw-dashboardControl 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). 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.
Read from SKILL.md and the folder at commit eda62f3. 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.
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.
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.
The full file from FerroxLabs/ijfw at commit eda62f3, republished under its MIT licence (© FerroxLabs). 117 words, ~403 tokens.
.claude/skills/ijfw-dashboard/SKILL.md (or your agent's skills folder).Local observability dashboard at http://localhost:37891. Shows observations from all platforms (Claude Code, Codex, Gemini) in real time via SSE.
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.ijfw/dashboard.port.~/.ijfw/observations.jsonl (shared ledger across all platforms).localhost-gated: external requests return 403.| Platform | Writes observations | Reads dashboard |
|---|---|---|
| Claude Code | yes | yes |
| Codex | yes | yes |
| Gemini | yes | yes |
| Cursor | view-only | yes |
| Windsurf | view-only | yes |
| Copilot | view-only | yes |
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
Just SKILL.md in codex/skills/ijfw-dashboard of FerroxLabs/ijfw.
Open the folder on GitHubat commit eda62f3
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ijfw Dashboard this skillFerroxLabs/ijfw | 212 | — | ~403 | Automated safety check: Pass | MIT | |
| Langsmith ObservabilityOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | |
| ObservabilityBuilderIO/agent-native | 7.1k | — | ~7.3k | Automated safety check: Pass | None | |
| Frontend Observabilitysickn33/agentic-awesome-skills | 47k | 1 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Ebpf Observabilitysickn33/agentic-awesome-skills | 47k | 2 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Python Observabilitywshobson/agents | 40k | — | ~1.8k | Automated safety check: Pass | MIT |
Orchestra-Research/AI-Research-SKILLs
LLM observability platform for tracing, evaluation, and monitoring.
BuilderIO/agent-native
Agent observability, evals, feedback, and experiments. An agent skill from BuilderIO/agent-native.
sickn33/agentic-awesome-skills
A portable, framework-agnostic field-side observability system for any React or React Native app.
sickn33/agentic-awesome-skills
Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
wshobson/agents
Python observability patterns including structured logging, metrics, and distributed tracing.
InsForge/InsForge
A skill your agent uses when contributing to InsForge's shared dashboard package.
FerroxLabs/ijfw
Maintain canonical AGENTS.md (open spec). An agent skill from FerroxLabs/ijfw.
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'…
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.
FerroxLabs/ijfw
Challenge decisions, surface counter-arguments, flag assumptions.
FerroxLabs/ijfw
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact.
FerroxLabs/ijfw
Root-cause analysis with hypothesis tracking. An agent skill from FerroxLabs/ijfw.
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).
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Ijfw Dashboard 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.
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.
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.
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.
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.