aget: Skill for Claude Code

.claude/skills/aget-propose-actions/SKILL.md

aget-propose-actions is a skill for Claude Code from aget-framework/aget. It costs 33 tokens per session (11,111 once invoked), scanned A, original, Apache-2.0.

A planning skill that proposes ranked next actions based on available evidence, with time limits. It standardizes requests such as asking for several things to do in the next 30 minutes.

In plain words
What is it for?
Use it to turn a natural-language request into a numbered set of actions, apply a requested count and time budget, and normally carry out all proposed actions.
Why use it?
It avoids different agents interpreting the same request with different formats, detail levels, or execution behavior.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions AGENTS.md.

This is aget-framework/aget's own configuration. It tells Claude Code how to work on aget itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything aget configures →

Reuse

Borrowing it

Nothing to install: this file belongs to aget-framework/aget. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/aget-framework/aget/main/.claude/skills/aget-propose-actions/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/aget-framework/aget

Made for: Claude Code.

Wrote 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.

agentmods badge for aget-propose-actions

README.md
[![agentmods](https://agentmods.dev/badge/skills/aget-framework/aget/aget-propose-actions.svg)](https://agentmods.dev/skills/aget-framework/aget/aget-propose-actions)
Your own site
<a href="https://agentmods.dev/skills/aget-framework/aget/aget-propose-actions"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-propose-actions.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,111 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 9 findings, up to medium

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 →

  • medium Excessive Agency · line 245
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 253
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 259
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 262
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 264
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 289
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 312
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 316
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 333
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.11111
Opus 5 $0.00016 $0.05555
Sonnet 5 $0.00007 $0.02222
Haiku 4.5 $0.00003 $0.01111

Measured 8d ago against content hash c59707fa1318, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aget-propose-actions 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 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.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/aget-propose-actions/SKILL.md · 357 lines

How it starts

The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/aget-propose-actions

Propose ranked next-best actions with evidence grounding, time budgets, and execute-all default. Supersedes the informal "step back. N next-best actions" trigger phrase.

Purpose

The principal's most frequent interaction pattern across the entire fleet (3-5x per session, every agent, every session) is: "step back. N next-best actions, in this session, within the next M mins." Currently each agent interprets this differently — varying in depth, format, evidence citation, and execution behavior. This skill standardizes input parsing, KB review trigger (L335), output format, evidence grounding, parameterization, and the execute-all default (AGENTS.md).

Evidence: 34+ agents use identical phrasing. L637 (Mid-Session Steering via NBAs), L677 (Divergent Proposal Mode), L693 (5-action default), L787 (interpretation variance across agents). #721 (prior issue). 10+ invocations across 6 agents in v3.12.0 lifecycle.

Input

$ARGUMENTS

Parameters (parsed from natural language):

Parameter Source Default Grammar
count First number in prompt 5 (per L693) "N next-best actions"
budget Time expression in prompt 30 min "within the next N mins/hr"
focus Remainder of prompt Session mandate "focus on X" / "for Y"

Authorization-shape flags (mode-gated — REQ-PA-017): the following are documented parameters, but documented ≠ unconditionally accepted. Their acceptance is invoker-mode-gated per Step 2.8: principal-typed → ACCEPT (REQ-PA-014); agent-self-issued → REFUSE (REQ-PA-015, preserves the L976/L979 NBA-fill safety core). Documenting them here promotes them out of "undocumented/aspirational" status (removing the per-session re-litigation friction the F1 arc surfaced) without loosening the agent-mode refusal.

Flag Meaning Default Acceptance gate
count=auto Agent picks the count from trigger-evidence (budget = ceiling, trigger-presence = floor) off (use count numeric) principal-mode only
batch Treat the proposed set as one batch-authorizable unit off principal-mode only
go Batch-level GO (satisfies Step 4.5); authorizes execution of trigger-evidenced actions only off principal-mode only

Read the full file on GitHub · 357 lines

Changes

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.

  1. 8d ago First seen · 357 lines · 33 tokens per session scan A c59707fa1318

Subscribe to this mod's changes

aget-propose-actions is a skill published in the GitHub repository aget-framework/aget (11 stars, last pushed today), licensed Apache-2.0. It adds 33 tokens to every session and 11,111 once invoked, about $0.0002 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.