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 cosmicstack-labs/mercury-agent-skills --skill decision-matrixgit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-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/cosmicstack-labs/mercury-agent-skills/decision-matrix)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/decision-matrix"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/decision-matrix/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/cosmicstack-labs/mercury-agent-skills/decision-matrix"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/decision-matrix.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00045 | $0.02254 |
| Opus 5 | $0.00023 | $0.01127 |
| Sonnet 5 | $0.00009 | $0.00451 |
| Haiku 4.5 | $0.00005 | $0.00225 |
Grade A, and why
decision-matrix 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Matrix
What It Does
Takes the guesswork out of tough decisions by applying structured frameworks. Instead of spinning in circles with pros/cons lists, you get a repeatable system for comparing options, weighting what matters, and reaching a conclusion you can explain and defend.
Frameworks Available
1. Classic Pros & Cons (Benjamin Franklin Method)
Best for: Quick decisions with low-to-moderate stakes
| Step | Action |
|---|---|
| 1 | Draw two columns: PROS and CONS |
| 2 | List every reason for and against — no filtering |
| 3 | Weigh each item (not all pros are equal). Assign +1 to +5 for pros, -1 to -5 for cons |
| 4 | Sum the scores. A net positive suggests "yes." Consider emotional weight too |
Guardrail: Pros/cons alone miss hidden assumptions. Always follow with: "What am I not considering?"
2. Weighted Decision Matrix (Pugh Matrix)
Best for: Comparing multiple options against multiple criteria
| Criteria | Weight (1-5) | Option A | Option B | Option C |
|------------------------|-------------|----------|----------|----------|
| Cost | 4 | 8/10 | 6/10 | 9/10 |
| Time to Market | 3 | 7/10 | 9/10 | 5/10 |
| Strategic Fit | 5 | 9/10 | 4/10 | 7/10 |
| Team Capacity | 2 | 6/10 | 8/10 | 4/10 |
| **Weighted Total** | | 113 | 92 | 103 |
Steps:
- List all viable options (rows)
- Define criteria that matter (columns)
- Assign a weight (1-5) to each criterion based on importance
- Score each option per criterion (1-10)
- Multiply score × weight, sum across criteria
- Highest weighted total wins — but sanity-check the result
3. Pre-Mortem
Best for: High-stakes decisions where risk mitigation is critical
"It's 12 months from now and our decision has failed spectacularly. How did it happen?"
| Step | Technique |
|---|---|
| 1 | Assume the decision was made and led to disaster |
| 2 | Fast-forward and write the "post-mortem" — what went wrong? |
| 3 | Generate 5-10 plausible failure modes |
| 4 | For each failure, ask: "What could prevent this?" |
| 5 | Incorporate those safeguards into the decision |
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.
- 9d ago First seen · 224 lines · 45 tokens per session scan A f7c7ba5b5d10
decision-matrix is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 15d ago), licensed MIT. It adds 45 tokens to every session and 2,254 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.
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