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/charlieviettq/awesome-agent-skillnpx agentmods add commands/charlieviettq/awesome-agent-skill/install-domainWrote 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/commands/charlieviettq/awesome-agent-skill/install-domain)<a href="https://agentmods.dev/commands/charlieviettq/awesome-agent-skill/install-domain"><img src="https://agentmods.dev/badge/commands/charlieviettq/awesome-agent-skill/install-domain/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/commands/charlieviettq/awesome-agent-skill/install-domain"><img src="https://agentmods.dev/badge/commands/charlieviettq/awesome-agent-skill/install-domain.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 | $0.00008 | $0.00158 |
| Opus 5 | $0.00004 | $0.00079 |
| Sonnet 5 | $0.00002 | $0.00032 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
install-domain 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 12d 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
Install skills from this repository into a target project using install scripts.
Domain argument: $ARGUMENTS
If arguments are missing, ask for:
- Domain folder (e.g.
core-workflow,security-appsec) - Target project absolute path
- Format:
cursor,claude, orboth(defaultboth)
Then run:
bash scripts/install/install-domain.sh <domain> <target-path> --format <format>
Confirm installed paths and remind user to reload the agent session.
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.
- 12d ago First seen · 23 lines · 8 tokens per session scan A ea8eb3ec9f64
install-domain is a command published in the GitHub repository charlieviettq/awesome-agent-skill (25 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 158 once invoked, about $0.0000 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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