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 ai-sdlc-framework/ai-sdlc --skill decision-rubricgit clone --depth 1 https://github.com/ai-sdlc-framework/ai-sdlcWrote 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/ai-sdlc-framework/ai-sdlc/decision-rubric)<a href="https://agentmods.dev/skills/ai-sdlc-framework/ai-sdlc/decision-rubric"><img src="https://agentmods.dev/badge/skills/ai-sdlc-framework/ai-sdlc/decision-rubric.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 | $0.00168 | $0.02834 |
| Opus 5 | $0.00084 | $0.01417 |
| Sonnet 5 | $0.00034 | $0.00567 |
| Haiku 4.5 | $0.00017 | $0.00283 |
Grade A, and why
decision-rubric 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.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision rubric — how to ask the operator a non-trivial design question
Shallow question-asking is worse than not asking at all. The failure mode this rubric exists to prevent, as the operator who prompted it put it:
"I don't like this new method of resolving the questions. It doesn't go through the thinking rubric we have been doing with the questions that produces meaningful answers — it just skims over the questions and recommends the authors recommendations."
That failure shape: read the OQ → restate the author's lean → ask "agree?". The operator picks "yes" because there's nothing else to compare against, and the decision they thought they were making was actually the author's decision rubber-stamped. Six months later a real edge case surfaces and the resolution is too thin to interpret.
This skill exists so future-you doesn't do that.
When to invoke this rubric
YES — apply the rubric when the user is choosing:
- An open-question or design-decision resolution on any work item — an RFC Open Question, a backlog task's unresolved design point, a GitHub / Jira / Linear issue asking "how should we…", a design-doc comment thread
- A default value that ships to adopters (timeouts, retry counts, grace periods, batch sizes, severity thresholds)
- A library, framework, or major dependency
- An architectural pattern (single-tenant vs multi-tenant, push vs pull, sync vs async, monolith vs split)
- A deprecation / migration / lifecycle policy
- A schema shape that's hard to change later (DB columns, public API contracts, file formats, URI structures)
- A trade-off between two real engineering concerns (performance vs simplicity, strict vs lazy, eager vs lazy)
- Anything where the user's likely answer depends on context they have and you don't
NO — skip the rubric when:
- The choice is a personal preference (file naming, commit message style, which color emoji)
- The choice is fully reversible in <5 minutes (which directory, what to call a variable)
- One option is dominant on every axis (there's no real trade-off)
- The user has already stated a preference in this session or in memory
- You're asking for missing facts ("what's the issue number?", "which branch?") — those get a plain AskUserQuestion or just-ask-in-text
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 · 162 lines · 168 tokens per session scan A 765ed8919453
decision-rubric is a skill published in the GitHub repository ai-sdlc-framework/ai-sdlc (105 stars, last pushed yesterday), licensed Apache-2.0. It adds 168 tokens to every session and 2,834 once invoked, about $0.0008 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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