skill-recall

skill-recall is a skill for Claude Code, Codex from wrg32786/aigent-os. It costs 0 tokens per session (553 once invoked), scanned A, original, MIT.

A skill-discovery workflow that matches a current task to an installed skill catalogue. It ranks matching skills and records a gap when no suitable skill is found.

In plain words
What is it for?
Use it to search a local skill taxonomy, compare task keywords and domains, and return recommended skills with their invocation hints.
Why use it?
It helps an assistant find the right existing procedure instead of guessing or overlooking a relevant one. Previous successful combinations can also guide the ranking.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search a local skill taxonomy, compare task keywords and domains, and return recommended skills with their invocation hints.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wrg32786/aigent-os/skill-recall
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add wrg32786/aigent-os --skill skill-recall
Clone the repo
git clone --depth 1 https://github.com/wrg32786/aigent-os

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-recall

README.md
[![agentmods](https://agentmods.dev/badge/skills/wrg32786/aigent-os/skill-recall/github.svg)](https://agentmods.dev/skills/wrg32786/aigent-os/skill-recall)
Your own site
<a href="https://agentmods.dev/skills/wrg32786/aigent-os/skill-recall"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/skill-recall/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-recall

Your own site · 80×15
<a href="https://agentmods.dev/skills/wrg32786/aigent-os/skill-recall"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/skill-recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 553 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00553
Opus 5.5 $0.00000 $0.00221
Sonnet 5.5 $0.00000 $0.00111
Haiku 4.5 $0.00000 $0.00055

Measured 1mo ago against content hash 4b4e3d2eb450, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/skill-recall/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/skill-recall — Find local skills for current task

When invoked, match the current task against the installed skill taxonomy. Return ranked suggestions or log a gap.

Trigger

/skill-recall or /skill-recall <task description>

Flow

  1. Parse intent — extract key action words and domain from the task description or current conversation context
  2. Read taxonomy — load $AIGENT_VAULT/memory/SKILL_LEDGER.md
  3. Prefix match — match intent keywords against taxonomy paths:
    • Direct path match: research.deep matches all research.deep.* skills
    • Keyword match: "browser" matches automation.browser.*, "lyrics" matches music.lyrics.*
    • Fuzzy domain match: "investigate a bug" matches research.deep.investigate + strategy.debug.investigate
  4. Check chains — read $AIGENT_VAULT/memory/SKILL_CHAINS.md for prior successful multi-skill sequences with similar objectives
  5. Rank results — prioritize by:
    • Exact taxonomy path match (highest)
    • Prior chain match (high — proven to work)
    • Keyword overlap (medium)
    • Domain proximity (lower)
  6. Output:
    • If matches found: return ranked list with skill name, taxonomy path, one-line description, and invocation hint
    • If chain match found: suggest the full chain with → notation
    • If NO match found: log to memory/SKILL_GAPS.md and suggest /skill-hunt

Gap Logging

When no match is found, append a row to memory/SKILL_GAPS.md:

| {today's date} | {task context, 1 line} | {what capability is missing} | — | open |

Then output: "No matching skill found. Gap logged. Run /skill-hunt {gap description} to search externally."

Example

User: /skill-recall transcribe this meeting recording
aigent: 
  Match: `research.audio.transcriber` — /audio-transcriber
  "Transcribe audio files to structured markdown with speaker labels via Whisper"
  Invoke: /audio-transcriber <path-to-audio>
  • [[memory/SKILL_LEDGER]] — the taxonomy this skill searches
  • [[memory/SKILL_GAPS]] — where misses are logged
  • [[memory/SKILL_CHAINS]] — prior successful sequences
  • [[concepts/Capability Expansion Doctrine]] — the doctrine governing recall + hunt

Read the full file on GitHub · 54 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 54 lines · 0 tokens per session scan A 4b4e3d2eb450

Subscribe to this mod's changes

skill-recall is a skill published in the GitHub repository wrg32786/aigent-os (25 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 553 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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