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-docs-refinegit 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-docs-refine)<a href="https://agentmods.dev/skills/rse/ase/ase-docs-refine"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-docs-refine/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/rse/ase/ase-docs-refine"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-docs-refine.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 | $0.00086 | $0.04294 |
| Opus 5 | $0.00043 | $0.02147 |
| Sonnet 5 | $0.00017 | $0.00859 |
| Haiku 4.5 | $0.00009 | $0.00429 |
Grade A, and why
ase-docs-refine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@${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
Ground Rule
This skill performs light rewriting of awkward or unclear sentences, without reshaping the argument. Every proposed change MUST preserve the statement of the original text exactly: same facts, same numbers, same technical terms, same qualifiers, same negations, same order of the argument -- only the wording changes. A rewriting which shifts the meaning even slightly is not a refinement and is never applied.
The rewriting stays within a sentence. Dropping a whole sentence,
paragraph, example, or list item for the sake of brevity is length
reduction, not refinement, and belongs to the ase-docs-shorten skill.
-
The project source artifacts are classified as a black box, so the user does not want them inspected or their problems surfaced. Skip the entire investigation and reporting: do not invoke any
GloborAgenttool and do not read any document, only output the following and then SKIP the remaining steps STEP 2 and STEP 3:First, use the following to give a hint on this step:
Dispatch the investigation to sub-agents via the
Agenttool so that no investigation details leak into the user-visible transcript. The sub-agents perform the silent reading and checking; only their final structured return values are consumed here.For this, first silently resolve
<getopt-arguments/>to the list of individual document files, expanding any directory or wildcard references with theGlobtool. Then partition , preserving order, into at most eight batches of roughly equal size (a single document yields a single batch), and invoke the following tool once per batch, emitting all invocations in one single message so they run in parallel:Agent( description: "Refine Investigation (<batch-index/>/<batch-count/>)", subagent_type: "ase:ase-docs-refine", prompt: <batch/>, run_in_background: false )Here is the space-separated list of the document file paths of the corresponding batch, is the 1-based index of that batch, and is the total number of batches, so that each parallel invocation is distinguishable in the progress display.
Parse the result message of each
Agenttool invocation as a JSON array, concatenate all those arrays, sort the combined list byfileand then numerically byline, and set to that list.You MUST NOT output anything at all in this STEP 1 beyond the above hint template and the
GlobandAgenttool invocations. -
Use the following to give a summary of the detected problems in :
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.
- yesterday First seen · 397 lines · 86 tokens per session scan A 40c4ab4275c4
ase-docs-refine is a skill published in the GitHub repository rse/ase (47 stars, last pushed today), licensed Apache-2.0. It adds 86 tokens to every session and 4,294 once invoked, about $0.0004 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 2026-09-07.
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