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-task-assigngit 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-task-assign)<a href="https://agentmods.dev/skills/rse/ase/ase-task-assign"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-task-assign/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-task-assign"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-task-assign.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 | $0.00096 | $0.01131 |
| Opus 5.5 | $0.00038 | $0.00452 |
| Sonnet 5.5 | $0.00019 | $0.00226 |
| Haiku 4.5 | $0.00010 | $0.00113 |
Grade A, and why
ase-task-assign scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
Procedure
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Determine Task and Assignee:
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Parse (with any leading and trailing whitespace stripped) into a whitespace-separated list of tokens. Inherit the always existing , , , and from the current context. Set and (empty). Do not output anything.
-
-
Perform Assignment:
-
Call the
ase_task_assign(id: "<id/>", assignee: "<assignee/>", session: "<ase-session-id/>", tool: "<ase-agent-tool/>")tool of theaseMCP server and set to thetextoutput field of this tool call. As giving a task back waits for late telemetry, this call takes about 10 seconds then. Do not output anything related to this MCP tool call. -
-
If starts with
ERROR:: Only output the following : -
If starts NOT with
ERROR:: Call thease_task_id(id: "<id/>", session: "<ase-session-id/>")tool of theaseMCP server to switch the task, so the usage window of the task observes assignee changes made elsewhere, and set . Do not output anything related to this MCP tool call.Set to the first line of with the leading
OK:prefix stripped and only output the following :If carries a line
NOTICE: <info/>, additionally output:
-
-
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 · 112 lines · 96 tokens per session scan A aff1e8807d4f
ase-task-assign is a skill published in the GitHub repository rse/ase (60 stars, last pushed yesterday), licensed Apache-2.0. It adds 96 tokens to every session and 1,131 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-15.
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