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 TeamDzX/myllm-skills --skill decision-matrixgit clone --depth 1 https://github.com/TeamDzX/myllm-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/teamdzx/myllm-skills/decision-matrix)<a href="https://agentmods.dev/skills/teamdzx/myllm-skills/decision-matrix"><img src="https://agentmods.dev/badge/skills/teamdzx/myllm-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/teamdzx/myllm-skills/decision-matrix"><img src="https://agentmods.dev/badge/skills/teamdzx/myllm-skills/decision-matrix.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00024 | $0.00231 |
| Opus 5 | $0.00012 | $0.00115 |
| Sonnet 5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
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 12d 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
Decision matrix
Help the user choose between options by scoring them against weighted criteria.
-
Identify the options and the criteria that matter. If the user didn't give criteria, propose a sensible set and weights, and say you're assuming them.
-
Build a markdown table: one row per option, one column per criterion, scored 1–5. Include each criterion's weight in its header.
-
Compute a weighted total per option (Σ score × weight) and add a Total column.
-
End with:
Recommendation — the leading option in one sentence.
Main trade-off — what you'd give up by choosing it.
Rules:
- Be explicit about assumptions and weights; the user can re-weight and you recompute.
- Score honestly — don't rig the matrix toward a predetermined answer.
- If two options are close, say so rather than forcing a winner.
- Keep it decision-useful, not exhaustive.
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.
- 12d ago First seen · 25 lines · 24 tokens per session scan A fe3abe03c29d
decision-matrix is a skill published in the GitHub repository TeamDzX/myllm-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 231 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 2026-08-31.
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