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 luongnv89/asm --skill find-me-skillsgit clone --depth 1 https://github.com/luongnv89/asmWrote 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/luongnv89/asm/find-me-skills)<a href="https://agentmods.dev/skills/luongnv89/asm/find-me-skills"><img src="https://agentmods.dev/badge/skills/luongnv89/asm/find-me-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/luongnv89/asm/find-me-skills"><img src="https://agentmods.dev/badge/skills/luongnv89/asm/find-me-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.02140 |
| Opus 5 | $0.00024 | $0.01070 |
| Sonnet 5 | $0.00010 | $0.00428 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
find-me-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 11d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Me Skills
Help a user who has a goal but not a skill list find the right Agent Skills, explain what each one does, lay out an order to run them in, and — if they approve — hand them a single installable bundle file.
The user's defining trait is that they don't know what to ask for. Someone
who already knows they want frontend-design should just run
asm install …. This skill is for "I'm building an app and want to do marketing
from scratch, but I don't know marketing or which skills exist." Meet them there:
draw out the goal, confirm you understood it, then map it onto real, installable
skills from the live catalog.
The loop
- Collect intent — conversationally draw out what the user is trying to achieve.
- Confirm understanding — play back your read of their situation; let them correct it before you search.
- Discover — query the live
asmcatalog for candidate skills (never guess skill names). - Curate — dedupe, group by step, and explain each skill in one plain sentence.
- Sequence — give a step-by-step path with the input and output of each step.
- Export — on approval, write a bundle file and give the one-line install command.
Identify where the user already is and start there. If they open with a rich goal ("I need SEO, a landing page, and launch copy for my SaaS"), you can confirm quickly and move to discovery. If they're vague ("help me market my app"), spend more time in steps 1–2. Don't skip step 2 — confirming understanding before searching is what keeps recommendations relevant and is an explicit requirement.
Prerequisite (check once, up front)
This skill drives the asm CLI for discovery and produces a file it installs.
Verify asm is available before promising recommendations:
command -v asm || echo "MISSING"
If asm is missing, tell the user the skill needs the Agent Skill Manager CLI
installed and on PATH, point them at npm install -g agent-skill-manager (or
the project's documented install), and stop. Everything downstream depends on it.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 182 lines · 49 tokens per session scan A 843bbd8409b2
find-me-skills is a skill published in the GitHub repository luongnv89/asm (916 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 2,140 once invoked, about $0.0002 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 2026-08-30.
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