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.
curl -O https://raw.githubusercontent.com/aget-framework/aget/main/.claude/skills/aget-recommend-action/SKILL.mdgit clone --depth 1 https://github.com/aget-framework/agetWrote 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/aget-framework/aget/aget-recommend-action)<a href="https://agentmods.dev/skills/aget-framework/aget/aget-recommend-action"><img src="https://agentmods.dev/badge/skills/aget-framework/aget/aget-recommend-action.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00011 | $0.00493 |
| Opus 5 | $0.00005 | $0.00246 |
| Sonnet 5 | $0.00002 | $0.00099 |
| Haiku 4.5 | $0.00001 | $0.00049 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- aget-recommend-action — 100% identical, 0 lines differ
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:
-
Understand the Context
- Clarify the decision or question requiring recommendation
- Identify constraints, goals, and success criteria
- Note stakeholder perspectives
-
Analyze Options
- Identify at least 2-3 viable alternatives
- Evaluate each against criteria
- Document pros and cons
-
Form Recommendation
- Select primary recommendation
- Articulate clear rationale (why this option)
- Assign confidence level (High, Medium, Low)
-
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
Related
- SKILL-015: aget-recommend-action specification
- ONTOLOGY_advisor.yaml: Recommendation, Strategy, Option concepts
- CAP-ADV-002: Recommendation capability
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.
- 8d ago First seen · 85 lines · 11 tokens per session scan A 2405e9c9e618
aget-recommend-action is a skill published in the GitHub repository aget-framework/aget (11 stars, last pushed today), licensed Apache-2.0. It adds 11 tokens to every session and 493 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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