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/ase-help-skillnpx skills add rse/ase --skill ase-help-skillgit 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-help-skill)<a href="https://agentmods.dev/skills/rse/ase/ase-help-skill"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-help-skill.svg" alt="Measured on agentmods" 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 | $0.00088 | $0.01950 |
| Opus 5 | $0.00044 | $0.00975 |
| Sonnet 5 | $0.00018 | $0.00390 |
| Haiku 4.5 | $0.00009 | $0.00195 |
Grade A, and why
ase-help-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@${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
The following is the index of all ASE skills -- one
⎈ **<group/>** entry per skill group and one
○ `<name/>`: <purpose/> entry per skill -- and this is
the sole index is resolved against:
-
-
The rendered itself was explicitly requested and hence is always emitted. Only the trailing pointer to the per-skill manual page is a hint, so emit it by expanding the following (which, depending on the configured , may expand into nothing):
-
Set to with only its leading and trailing whitespace stripped, as the verbatim wording of the user is required later on.
Normalize by stripping all leading and trailing whitespace and then, repeatedly, any leading
/andase:prefix, so thatase-code-lint,/ase-code-lint,ase:ase-code-lint, and/ase:ase-code-lintall normalize toase-code-lint. Do not output anything. -
Resolve the normalized against in three tiers and store the outcome in . Each tier is tried only if all preceding tiers yielded no candidate at all:
-
Exact Name Tier:
If a catalog name is equal to , set to exactly that single name.
-
Substring Name Tier:
Set to all catalog names containing as a substring, in alphabetical order.
-
Fuzzy Purpose Tier:
Set to all catalog names whose purpose -- the part after the colon of the catalog entry -- fuzzily matches , in descending order of match quality. Match against , and not against , as this tier matches free-text wording, which the normalization of sub-step 2 would distort.
A purpose matches fuzzily if it shares the topic, the wording, or evident synonyms with , so that e.g.
manpagematchesShow the Manual Page of an ASE Skillandroot causematchesFive-Whys Root-Cause Analysis. Include plausible matches only -- if none is plausible, leave empty.
Set to the number of entries in . Do not output anything.
-
-
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.
- 4d ago First seen · 212 lines · 88 tokens per session scan A ef1468c5b9f1
ase-help-skill is a skill published in the GitHub repository rse/ase (47 stars, last pushed 7d ago), licensed Apache-2.0. It adds 88 tokens to every session and 1,950 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 2026-08-30.
Other skills, from other repositories
weekly-digests
Generate a serial week-by-week narrative digest of a project's full claude-mem timeline. Splits the timeline into per-ISO-week files, then runs one consecutive subagent per week — each receiving the prior week's carry-forward block — to produce one chapter per ISO week of data. Use when asked for "weekly digests"…
embedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
docx-comment-reply
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
oma-scholar
Scholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient…
oma-hwp
Convert HWP / HWPX / HWPML files to Markdown using kordoc. Extracts text, headings, tables, lists, images, footnotes, and hyperlinks. Use for Korean word processor files (Hangul), government documents, and AI-ready data preparation.
moai-ref-ui-polish
UI polish and interface-completion reference: the small visual details — concentric border radius, optical alignment, shadow-vs-border, motion easing, typography smoothing, tabular numbers, icon stroke weight, hit areas — that separate polished interfaces from generic ones. Agent-extending skill that amplifies…