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/aliasjeff/aclix/list_skillnpx skills add AliasJeff/ACLIx --skill list_skillgit clone --depth 1 https://github.com/AliasJeff/ACLIxWhat 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 | $0.00016 | $0.01452 |
| Opus 5 | $0.00008 | $0.00726 |
| Sonnet 5 | $0.00003 | $0.00290 |
| Haiku 4.5 | $0.00002 | $0.00145 |
Grade A, and why
list_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 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Deliver a single, authoritative inventory of filesystem-based ACLIx skills (directories that contain a SKILL.md entrypoint). Prefer the bundled python scanner; if that path is unavailable, continue automatically via a constrained shell fallback—never stop at “Python missing” without producing a table for the user.
Standard Operating Procedure
Trigger
Activate this procedure whenever the user asks to list skills, show available skills, enumerate skills, or any equivalent inventory request.
1. Primary method (Python engine)
-
Read the injected anchor at the very top of the skill payload returned by
read_skill. Extract the absolute path from the line:[Skill Directory: <absolute_path>]- Hereafter, call this value
INJECTED_SKILL_DIR(it is the directory that contains this skill’sSKILL.md).
-
Invoke the
pythontool with:scriptPath:INJECTED_SKILL_DIR+/scripts/scanner.py(no trailing slash issues; normalize mentally to a single absolute path).code: omit.args: omit for the default behavior (scanner walks~/.aclix/skillsand./.aclix/skillsrelative to the agent process cwd). If the user requests a single alternate filesystem root, pass one argument: that directory path (the script treatssys.argv[1]as the sole scan root).
-
Success path — stdout is one JSON object from
json.dumps. Parse it. Expect:skills: array of records with at leastfolder_name,skill_directory,skill_md_path,name,description(any of the metadata fields may be JSONnull).
-
Failure of the primary method — Treat any of the following as failure: tool error string, non-JSON stdout, empty/corrupt JSON, or a message indicating
python3/pythoncould not be executed. Do not apologize at length, do not ask the user whether fallback is allowed, and do not abort the task. Immediately continue to Section 2.
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 · 94 lines · 16 tokens per session scan A f85f374871a2
list_skill is a skill published in the GitHub repository AliasJeff/ACLIx (23 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 1,452 once invoked, about $0.0001 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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