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.
npx skills add vignesh2027/AI-AGENT-SKILLS --skill using-agent-skillsgit clone --depth 1 https://github.com/vignesh2027/AI-AGENT-SKILLSWrote 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/vignesh2027/ai-agent-skills/using-agent-skills)<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/using-agent-skills"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/using-agent-skills/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.
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/using-agent-skills"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/using-agent-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00016 | $0.00413 |
| Opus 5.5 | $0.00006 | $0.00165 |
| Sonnet 5.5 | $0.00003 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
using-agent-skills 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 2mo 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.
What it actually says
Overview
This meta-skill teaches you how to use the AI Agent Skills framework. Load it first in any new session.
When to Use
Load this skill at the start of every session when working in a project that has this framework installed.
Process
Step 1: Identify your task type
Map what you're about to do to one of the 8 core commands:
- Defining/scoping →
/spec - Planning/decomposing →
/plan - Implementing →
/build - Testing/verifying →
/test - Reviewing code →
/review - Simplifying code →
/simplify - Deploying →
/ship - Responding to incidents →
/incident
Step 2: Load the primary skill
Read the skill file for your task: skills/<name>/SKILL.md
Step 3: Identify supporting skills
Check AGENTS.md for the skill composition table. Load supporting skills if they apply.
Step 4: Check for a relevant pack
If working in a specific domain (AI/ML, data, frontend), load the matching pack from packs/.
Step 5: Execute with verification gates
Follow each step in the skill. Do not skip steps. At each checkpoint, produce evidence.
Anti-Rationalizations
"The task is simple enough that I don't need a skill" Simple tasks still benefit from structured thinking. The overhead of loading a skill is seconds; the cost of a missed step can be days.
"I already know how to do this" Skills encode accumulated engineering wisdom beyond what any individual knows. They also prevent bad days from becoming bad commits.
Verification Requirements
- Identified the correct primary skill for the current task
- Loaded all relevant supporting skills
- Have clear verification requirements before starting work
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.
- 2mo ago First seen · 54 lines · 16 tokens per session scan A 52ae602c3548
using-agent-skills is a skill published in the GitHub repository vignesh2027/AI-AGENT-SKILLS (2 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 413 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
using-agent-skills compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| using-agent-skillsvignesh2027/AI-AGENT-SKILLS | Skill | 2 | 2mo ago | MIT | A | 16 | Claude Code, Codex |
| cw-gatesHmbown/Codewhale | Skill | 41k | 1mo ago | MIT | A | 48 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 6d ago | MIT | A | 33 | Claude Code, Codex |
| eval-dataset-designbojieli/ai-agent-book | Skill | 57k | 1mo ago | Apache-2.0 | A | 138 | Claude Code, Codex |
| memory-systembojieli/ai-agent-book | Skill | 57k | 1mo ago | Apache-2.0 | A | 95 | Claude Code, Codex |
| release-helperSahir619/fable-method | Skill | 2.3k | 1mo ago | MIT | A | 43 | Claude Code |
| loongsuite-pilot-insightalibaba/loongsuite-pilot | Skill | 242 | yesterday | Apache-2.0 | A | 111 | Claude Code, Codex |