Agent skill

Ijfw Recall

by FerroxLabs in FerroxLabs/ijfw

Surface relevant project memory at session start or on demand.

MITAuto-check passedAgent Workflows

Install Ijfw Recall

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

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

GitHub CLI
$ gh skill install FerroxLabs/ijfw ijfw-recall --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-recall .claude/skills/ijfw-recall && 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-recall
GitHub stars
212
Token cost
~312 tokens
SKILL.md length
116 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Surface relevant project memory at session start or on demand.

  • Works in 4 steps: Call ijfw_memory_recall with the current… → Also call ijfw_metrics to get tier sizes… → Present findings grouped by tier → …
  • Tasks that involve Agent memory
  • SKILL.md covers Execution and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ijfw Recall is an agent skill from FerroxLabs/ijfw. Surface relevant project memory at session start or on demand. Trigger: session start, 'recall', 'remember', 'what do you know', 'context', /recall

Its SKILL.md is about 310 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 Agent Workflows, covering Agent memory. 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 Agent memory

Example prompts

  • “recall”
  • “remember”
  • “what do you know”
  • “/ijfw-recall”

Workflow steps

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

  1. Call ijfw_memory_recall with the current task or goal as the query.
  2. Also call ijfw_metrics to get tier sizes and last-update timestamps.
  3. Present findings grouped by tier
  4. After presenting, offer in one line

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 Recall loads about 312 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 116 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~312

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). 116 words, ~312 tokens.

Download SKILL.mdSave it as .claude/skills/ijfw-recall/SKILL.md (or your agent's skills folder).
name
ijfw-recall
description
Surface relevant project memory at session start or on demand. Trigger: session start, 'recall', 'remember', 'what do you know', 'context', /recall

Execution

  1. Call ijfw_memory_recall with the current task or goal as the query. If no specific query, use the last user message or the project name.

  2. Also call ijfw_metrics to get tier sizes and last-update timestamps.

  3. Present findings grouped by tier:

WORKING MEMORY (hot -- .ijfw/memory/)
  <N> entries found
  - <key>: <one-line summary>  [<date>]
  ...

PROJECT MEMORY (project-level decisions)
  - <key>: <one-line summary>  [<date>]
  ...

NOTHING RECALLED
  Clean slate -- no relevant entries found for "<query>".
  Start a session to begin building memory.
  1. After presenting, offer in one line:

    <N> things recalled. Want the full text of any entry? (name it)

Rules

  • Never dump raw file contents. Summarize each entry to one line.
  • If memory is empty or the MCP tool is unavailable, check .ijfw/memory/knowledge.md directly -- it is plain markdown.
  • Omit tiers with zero matches. Show "Clean slate" only when all tiers are empty.
  • Do not fabricate entries. If recall returns nothing, say so clearly.

© 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-recall of FerroxLabs/ijfw.

Open the folder on GitHubat commit eda62f3

Compare with similar skills

Ijfw Recall 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 Recall compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ijfw Recall this skillFerroxLabs/ijfw212—~312Automated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins11k5 repos~1.2kAutomated safety check: PassNone
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Compound Learning WriterEveryInc/compound-engineering-plugin25k—~2kAutomated safety check: PassMIT

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All 38 skills in this repo
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  • Ijfw Critique

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  • Ijfw Cross Audit

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

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Categories

Questions about Ijfw Recall

What does Ijfw Recall do?

Surface relevant project memory at session start or on demand. Ijfw Recall is an agent skill from FerroxLabs/ijfw. Surface relevant project memory at session start or on demand.

When should I use Ijfw Recall?

Ijfw Recall fits situations like: tasks that involve Agent memory.

How do I install Ijfw Recall in Claude Code?

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

How do I install Ijfw Recall in Codex?

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

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

What does Ijfw Recall need to run?

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

Does Ijfw Recall 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 Recall 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 Recall use?

Ijfw Recall 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 Recall use?

About 312 tokens (SKILL.md is roughly 1.2k 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 Recall?

Skills that share tags, products or a category with Ijfw Recall: Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars), Reflect on Session Learnings (cursor/plugins, 11k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ijfw Recall?

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.