Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jmagly/aiwgnpx agentmods add skills/jmagly/aiwg/aiwg-utils-quickrefWrote 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.
[](https://agentmods.dev/skills/jmagly/aiwg/aiwg-utils-quickref)<a href="https://agentmods.dev/skills/jmagly/aiwg/aiwg-utils-quickref"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/aiwg-utils-quickref.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 244 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.03891 |
| Opus 5 | $0.00037 | $0.01946 |
| Sonnet 5 | $0.00015 | $0.00778 |
| Haiku 4.5 | $0.00007 | $0.00389 |
Grade A, and why
aiwg-utils-quickref 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIWG Core Utilities — Quick Reference
This is your always-loaded core directory for AIWG. It does not list every utility skill. Instead, it teaches the cross-cutting domains and gives you curated search phrases that map to aiwg discover lookups, plus a list of which framework-specific quickrefs are loaded.
How to use this quickref
Walk the action hierarchy in order. The agent always prefers a skill over a raw CLI invocation:
- Priority 1 — Local skill or agent: check if a skill already in your context handles the need (kernel skills listed below, framework quickrefs, deployed agents like
aiwg-steward/aiwg-finder). These cost nothing to invoke. - Priority 2 — Discovered skill: if no local match, pick a curated phrase from a capability domain (or paraphrase the user's words), run
aiwg discover "<phrase>", surface the top match, and fetch its body withaiwg show <type> <name>— neverfind/ls/Read. - Priority 3 — Raw CLI: only when no skill exists at priorities 1 or 2, OR the command is on the discovery surface (
aiwg discover,aiwg show,aiwg list,aiwg version,aiwg runtime-info), OR you are inside a skill that's calling the CLI as its step.
Do not enumerate skills from memory. AIWG ships hundreds of skills; you only see the kernel set in your context. See the cli-secondary rule for the full hierarchy and per-command pairings.
The canonical pipeline: discover → show
Most AIWG skills (~460 of 480) are not in your context and are not in <provider>/skills/ either — they stay at $AIWG_ROOT (no per-project copy by default, #1217). Two commands close the loop:
# 1. Find — returns ranked candidates with absolute paths
aiwg discover "<the user's need, paraphrased>"
# 2. Fetch — streams the SKILL.md body for the chosen candidate
aiwg show skill <name> # or: agent | command | rule
discover and show are designed to compose. You should never need to navigate the filesystem to read AIWG content. That's the whole point of the CLI.
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.
- 4d ago First seen · 272 lines · 74 tokens per session scan A e836c8bac68a
aiwg-utils-quickref is a skill published in the GitHub repository jmagly/aiwg (209 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 3,891 once invoked, about $0.0004 per session on Opus 5. 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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