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 agentmods add skills/rse/ase/hellonpx skills add rse/ase --skill hellogit clone --depth 1 https://github.com/rse/aseWhat 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 | $0.00039 | $0.00379 |
| Opus 5 | $0.00019 | $0.00189 |
| Sonnet 5 | $0.00008 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
hello 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 2d 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
!ase meta control skill getopt
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Set Set
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The current time is set by capturing the output of the
Bashtool commanddate '+%Y-%m-%d %H:%M:%S' -
The greeting format in Markdown is exactly:
[<time/>]: *Hello*, **<subject/>**, nice to meet you!
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Create the greeting string, based on the greeting format.
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Translate the greeting string into the target language .
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Output the greeting string verbatim. Do not output anything else.
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What ships with it
1 file 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.
- 2d ago First seen · 57 lines · 39 tokens per session scan A 3d7ea3a297b3
hello is a skill published in the GitHub repository rse/ase (47 stars, last pushed 4d ago), licensed Apache-2.0. It adds 39 tokens to every session and 379 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.
Other skills, from other repositories
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Hugging Face Inference SDK patterns for TypeScript/Node.js — InferenceClient setup, chat completion, text generation, streaming, embeddings, image generation, audio transcription, translation, summarization, and Inference Endpoints.
ai-provider-openai-whisper
Speech-to-text transcription and translation via OpenAI Audio API -- models, response formats, timestamps, prompting, streaming, chunking, and diarization.
plan-to-beads
Translate a polished markdown plan into self-contained beads in .beads/beads.jsonl. Every bead must be executable without reopening the plan. Use after the plan has converged.
borderline
Delegate mechanical, boring, low-risk tasks to the Antigravity CLI (agy) where it is just as reliable as Claude: bulk translations and i18n, trivial CSS/color/style changes, repetitive renames and replacements across many files, boilerplate, formatting and simple copy rewrites. Use it when the task is monotonous, its…
internationalization-and-localization
Design and review software for multiple languages, locales, scripts, regions, calendars, currencies, units, and text directions. Use when an AI coding agent adds user-facing text, formatting, sorting, input, translation, or locale-sensitive behavior.