Agent skill

Ijfw Metrics

by FerroxLabs in FerroxLabs/ijfw

Internal session metrics tracking. An agent skill from FerroxLabs/ijfw.

MITAuto-check passed

Install Ijfw Metrics

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

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

GitHub CLI
$ gh skill install FerroxLabs/ijfw ijfw-metrics --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/claude/skills/ijfw-metrics .claude/skills/ijfw-metrics && 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-metrics
GitHub stars
212
Token cost
~626 tokens
SKILL.md length
181 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Internal session metrics tracking. An agent skill from FerroxLabs/ijfw.

  • SKILL.md covers What We Track, Derived Metrics (calculated on… and Status Display Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ijfw Metrics is an agent skill from FerroxLabs/ijfw. Internal session metrics tracking. Auto-triggered at session boundaries. Tracks tokens, agent usage, efficiency gains. View with /ijfw-status.

Its SKILL.md is about 630 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-metrics”

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 (its code samples are json).

    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 Metrics loads about 626 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~626

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). 181 words, ~626 tokens.

Download SKILL.mdSave it as .claude/skills/ijfw-metrics/SKILL.md (or your agent's skills folder).
name
ijfw-metrics
description
Internal session metrics tracking. Auto-triggered at session boundaries. Tracks tokens, agent usage, efficiency gains. View with /ijfw-status.

IJFW Metrics -- Internal Tracking

Lightweight metrics captured at session boundaries via hooks. Zero per-turn cost. All tracking happens in the Stop hook.

What We Track

At each session end, append to .ijfw/metrics/sessions.jsonl:

json
{
  "timestamp": "2026-04-13T14:30:00Z",
  "session_id": "<session-id>",
  "duration_minutes": 45,
  "turns": 23,
  "mode": "smart",
  "effort": "high",
  "agents_dispatched": {
    "scout": 8,
    "builder": 12,
    "architect": 3
  },
  "memory_ops": {
    "stores": 5,
    "recalls": 2,
    "searches": 1
  },
  "skills_loaded": ["ijfw-core", "ijfw-commit", "ijfw-review"],
  "compactions": 1,
  "handoff_generated": true,
  "routing": "OpenRouter + local model"
}

Derived Metrics (calculated on /ijfw-status)

From the JSONL log, compute:

Efficiency:

  • Average turns per session
  • Agent distribution (% scout vs builder vs architect)
  • Estimated token savings from model routing:
    • scout turns x (opus_price - haiku_price) = routing savings
    • builder turns x (opus_price - sonnet_price) = routing savings

Quality:

  • Sessions with handoff generated (continuity metric)
  • Memory operations per session (knowledge accumulation)
  • Compaction count (context pressure indicator)
  • Skills loaded per session (specialisation usage)

Cost Projection: Using Anthropic pricing (per 1M tokens):

  • Haiku: $0.25 input / $1.25 output
  • Sonnet: $3 input / $15 output
  • Opus: $15 input / $75 output

If smart routing sent 40% of turns to Haiku instead of Opus:

  • Savings per 1K output tokens: $73.75 (Opus→Haiku)
  • At 50 turns/session, ~500 output tokens/turn average:
  • Per session: ~$0.92 saved on routed turns alone

Status Display Format

When user runs /ijfw-status or asks about performance:

IJFW Status
Mode: smart | Effort: high | OpenRouter

This Session:
  12 turns | 3 agents dispatched | 2 decisions stored

All Time (47 sessions):
  Smart routing: 340 turns -> scout, 580 -> builder, 127 -> architect
  Estimated savings: ~$43 in model routing
  Memory: 89 decisions, 12 patterns, 4 consolidations
  Continuity: 94% sessions with handoff

Context health: 34% used | Next compact: ~66% threshold
---------------------------------------

Positive framing. Show what IJFW has done for you. Never show negatives or waste metrics.

© 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 claude/skills/ijfw-metrics of FerroxLabs/ijfw.

Open the folder on GitHubat commit eda62f3

Compare with similar skills

Ijfw Metrics 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 Metrics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ijfw Metrics this skillFerroxLabs/ijfw212—~626Automated safety check: PassMIT
Building Soc Metrics And Kpi Trackingmukul975/Anthropic-Cybersecurity-Skills34k—~2.9kAutomated safety check: PassApache-2.0
Cost Trackingaffaan-m/ECC277k1 repos~1.3kAutomated safety check: PassMIT
Startup Metrics Frameworkwshobson/agents40k—~2.5kAutomated safety check: PassMIT
Internal Commsalirezarezvani/claude-skills28k—~3.4kAutomated safety check: PassMIT
Internal Communicationsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT

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More from FerroxLabs/ijfw

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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 6 days ago
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  • Ijfw Debug

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Questions about Ijfw Metrics

What does Ijfw Metrics do?

Internal session metrics tracking. An agent skill from FerroxLabs/ijfw. Ijfw Metrics is an agent skill from FerroxLabs/ijfw. Internal session metrics tracking.

How do I install Ijfw Metrics in Claude Code?

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

How do I install Ijfw Metrics in Codex?

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

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

What does Ijfw Metrics need to run?

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

Does Ijfw Metrics 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 Metrics 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 Metrics use?

Ijfw Metrics 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 Metrics use?

About 626 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.

What are the alternatives to Ijfw Metrics?

Skills that share tags, products or a category with Ijfw Metrics: Building Soc Metrics And Kpi Tracking (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Cost Tracking (affaan-m/ECC, 277k stars), Startup Metrics Framework (wshobson/agents, 40k stars) and Internal Comms (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ijfw Metrics?

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.