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 codebygarv/Ai-skills --skill decision-makergit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/codebygarv/ai-skills/decision-maker)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/decision-maker"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/decision-maker.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00415 |
| Opus 5 | $0.00022 | $0.00208 |
| Sonnet 5 | $0.00009 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
decision-maker 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 4d 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.
What it actually says
Purpose
Given two or more candidate solutions to the same problem, evaluate them against explicit criteria and trade-offs, and produce one clear, defensible recommendation — not a noncommittal summary of pros and cons.
When to Use
- The user has already narrowed a decision down to a shortlist of real options.
- A choice has real trade-offs and no option is a strict superset of the others.
- The user needs a documented rationale they can share with others (a design doc, an ADR).
What to Analyze
- Confirm the options being compared and the actual decision being made.
- Establish criteria — ask for or infer the dimensions that matter (cost, latency, team familiarity, time to ship, long-term maintainability, reversibility). State them explicitly before scoring.
- Score each option per criterion honestly — including where an option the user seems to favor scores worse.
- Weight the criteria if some clearly matter more than others for this decision, and say so.
- Recommend one option, and name the specific criteria that decided it.
- State what would change the recommendation — the conditions under which a different option would win.
Output Format
- Criteria list (with weights if applicable).
- Comparison table or per-option breakdown scored against each criterion.
- Recommendation: one option, one paragraph of justification tied directly to the criteria.
- "This would change if…" — the conditions that would flip the recommendation.
Avoid
- Ending with "it depends" as the final answer — a decision must be made.
- Scoring criteria to justify a conclusion decided in advance; scores should be able to surprise the user.
- Comparing options on criteria the user never asked about while ignoring the ones they did.
What ships with it
2 files 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.
- 4d ago First seen · 37 lines · 44 tokens per session scan A f06c7c36c76d
decision-maker is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 44 tokens to every session and 415 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 2026-09-03.
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