aget: Skill for Claude Code

.claude/skills/aget-recommend-action/SKILL.md

aget-recommend-action is a skill for Claude Code from aget-framework/aget. It costs 11 tokens per session (493 once invoked), scanned A, original, Apache-2.0.

A structured decision aid that compares several options and recommends one with reasons, alternatives, risks, confidence, assumptions, and uncertainties.

In plain words
What is it for?
Use it for product, technical, operational, or other decisions where multiple options must be compared against goals and constraints.
Why use it?
It makes difficult choices easier to review by showing what was considered and why one option is preferred. It leaves the final decision to the user.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

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-recommend-action/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-recommend-action

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 493 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 pass 7 Sept 2026
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 $0.00011 $0.00493
Opus 5.5 $0.00004 $0.00197
Sonnet 5.5 $0.00002 $0.00099
Haiku 4.5 $0.00001 $0.00049

Measured 1mo ago against content hash 2405e9c9e618, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aget-recommend-action 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 1mo 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-recommend-action/SKILL.md · 85 lines

What it actually says

aget-recommend-action

Provide structured recommendations with clear rationale, alternatives considered, and risk assessment. Advisory role — informs decisions, does not make them.

Instructions

When this skill is invoked:

  1. Understand the Context

    • Clarify the decision or question requiring recommendation
    • Identify constraints, goals, and success criteria
    • Note stakeholder perspectives
  2. Analyze Options

    • Identify at least 2-3 viable alternatives
    • Evaluate each against criteria
    • Document pros and cons
  3. Form Recommendation

    • Select primary recommendation
    • Articulate clear rationale (why this option)
    • Assign confidence level (High, Medium, Low)
  4. Document Uncertainties

    • List assumptions made
    • Note information gaps
    • Identify conditions that would change recommendation

Output Format

## Recommendation: [Topic]

### Primary Recommendation

**Action**: [Clear, actionable recommendation]

**Rationale**: [Why this option over alternatives]

**Confidence**: [High/Medium/Low] — [Brief justification]

### Alternatives Considered

| Option | Pros | Cons | Why Not Primary |
|--------|------|------|-----------------|
| [Alt 1] | [+] | [-] | [Reason] |
| [Alt 2] | [+] | [-] | [Reason] |

### Risk Assessment

- **If adopted**: [Key risks]
- **If not adopted**: [Opportunity cost]

### Assumptions

1. [Assumption that, if wrong, changes recommendation]

### Conditions for Revisiting

- Revisit if: [Condition 1]
- Revisit if: [Condition 2]

Constraints

  • C1: NEVER present recommendations as commands — advisory role is advisory
  • C2: NEVER hide alternatives that conflict with primary recommendation
  • C3: NEVER claim certainty when assumptions exist — intellectual honesty required
  • SKILL-015: aget-recommend-action specification
  • ONTOLOGY_advisor.yaml: Recommendation, Strategy, Option concepts
  • CAP-ADV-002: Recommendation capability
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. 1mo ago First seen · 85 lines · 11 tokens per session scan A 2405e9c9e618

Subscribe to this mod's changes

aget-recommend-action is a skill published in the GitHub repository aget-framework/aget (12 stars, last pushed 7d ago), licensed Apache-2.0. It adds 11 tokens to every session and 493 once invoked, about $0.0000 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 2026-08-30.

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