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 rse/ase --skill ase-arch-discovergit clone --depth 1 https://github.com/rse/aseWrote 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/rse/ase/ase-arch-discover)<a href="https://agentmods.dev/skills/rse/ase/ase-arch-discover"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-arch-discover.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Tool Misuse · line 160 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00026 | $0.03170 |
| Opus 5 | $0.00013 | $0.01585 |
| Sonnet 5 | $0.00005 | $0.00634 |
| Haiku 4.5 | $0.00003 | $0.00317 |
Grade A, and why
ase-arch-discover scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- "Bash(curl -s *)" How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-dialog.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
$ARGUMENTS
2. If <functionality/> is not clear, not precise, or not specific
enough, let the *user interactively choose* the intended
functionality.
In the following, you *MUST* *NOT* use your built-in
<user-dialog-tool/> tool! Instead, you *MUST* just show a
custom dialog according to the expanded `custom-dialog`
definition. You *MUST* closely follow this definition:
<expand name="custom-dialog" arg1="--no-other">
Functionality: Which functionality should the components provide?
<answer-1/>: (grounded candidate functionality 1)
<answer-2/>: (grounded candidate functionality 2)
<answer-3/>: (grounded candidate functionality 3)
<answer-4/>: (grounded candidate functionality 4)
</expand>
Then use the <result/> and its corresponding grounded candidate
functionality to adjust <functionality/> accordingly.
3. Display the determined final functionality with just the following
<template/>:
<template>
<ase-tpl-bullet-normal/> **FUNCTIONALITY**: <functionality/>
</template>
</step>
2. 1. Determine the used technology stack:
1. If a file `package.json` is found in the top-level directory
of the project and contains an entry `typescript` under `dependencies`
or `devDependencies`, then <stack>TypeScript</stack>.
2. Else, if a file `package.json` is found in the top-level directory
of the project, then <stack>JavaScript</stack>.
3. Else, if a file `build.gradle.kts` is found in the top-level directory and
is applying `kotlin`, `org.jetbrains.kotlin.jvm`, `kotlin-android`,
or `kotlin-multiplatform` plugins, then <stack>Kotlin</stack>.
4. Else, if a file `build.gradle` is found in the top-level directory and
is applying `kotlin`, `org.jetbrains.kotlin.jvm`, `kotlin-android`,
or `kotlin-multiplatform` plugins, then <stack>Kotlin</stack>.
5. Else, if a file `pom.xml` is found in the top-level directory and
contains `kotlin-maven-plugin` or `kotlin-stdlib` dependencies, then
<stack>Kotlin</stack>.
6. Else, if a file `pom.xml`, `build.gradle`, or `build.gradle.kts` is found
in the top-level directory of the project, then <stack>Java</stack>.
7. Else, use <stack>Unknown</stack>.
2. Display the determined final technology stack with just the
following <template/>:
<template>
<ase-tpl-bullet-normal/> **TECHNOLOGY STACK**: <stack/>
</template>
</step>
3. 1. If is "Unknown", the technology stack could not be determined and no component discovery backend is available. Inform the user with just the following and then STOP the entire flow (do not perform any further steps):
<template>
<ase-tpl-bullet-normal/> **RESULT**: technology stack could not be determined -- component discovery is only supported for JavaScript, TypeScript, Java, and Kotlin projects.
</template>
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.
- 8d ago First seen · 258 lines · 26 tokens per session scan A b4771a9f701a
ase-arch-discover is a skill published in the GitHub repository rse/ase (47 stars, last pushed today), licensed Apache-2.0. It adds 26 tokens to every session and 3,170 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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