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 liqiongyu/lenny_skills_plus --skill evaluating-trade-offsgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/evaluating-trade-offs)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/evaluating-trade-offs"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/evaluating-trade-offs/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/liqiongyu/lenny_skills_plus/evaluating-trade-offs"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/evaluating-trade-offs.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 | $0.00035 | $0.02142 |
| Opus 5 | $0.00017 | $0.01071 |
| Sonnet 5 | $0.00007 | $0.00428 |
| Haiku 4.5 | $0.00003 | $0.00214 |
Grade A, and why
evaluating-trade-offs 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluating Trade-offs
Scope
Covers
- Turning an ambiguous “pros/cons” debate into a decision-ready trade-off evaluation
- Comparing options using all-in cost (not just dollars) and explicit opportunity cost
- Using order-of-magnitude estimates (ranges + confidence) instead of false precision
- Stress-testing decisions with thought experiments (pre-mortems, reversibility, “worse first” dips)
- Avoiding sunk-cost traps with a clean stop/continue decision rule
When to use
- “Help me evaluate this trade-off and recommend a path.”
- “Create a pros/cons that actually leads to a decision.”
- “Compare options with cost/impact ranges and key assumptions.”
- “We’re debating speed vs quality—what’s the right trade and how do we manage the dip?”
- “Should we keep investing in this project, or stop? (Sunk cost question.)”
When NOT to use
- You need to clarify what problem you’re solving (use
problem-definition). - You need a full cross-functional decision process with stakeholder alignment and governance (use
running-decision-processes). - You’re prioritizing across many initiatives (use
prioritizing-roadmap). - You’re evaluating a specific technology, vendor, or build-vs-buy for a tool/platform (use
evaluating-new-technology). - You’re cutting scope to hit a date/timebox (use
scoping-cutting). - You need to model feedback loops, second-order effects, or system dynamics (use
systems-thinking). - The decision is personal/legal/HR/financial advice (escalate to qualified humans).
Inputs
Minimum required
- The trade-off / decision statement (one sentence) and a decision date (or “by EOW”)
- 2–4 options you’re choosing between (include “do nothing” if plausible)
- Constraints + non-negotiables (budget, headcount, policy, deadlines, customer commitments)
- What “good” means (success metrics + guardrails) and the time horizon you care about
- What you already know (evidence) + biggest unknowns (assumptions that drive the choice)
What ships with it
13 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.
- eval/eval_config.json 1.5 KB
- eval/SHOWCASE.md 4.9 KB
- eval/with_skill.md 22 KB
- eval/without_skill.md 9.9 KB
- README.md 1.2 KB
- references/CHECKLISTS.md 1.7 KB
- references/EXAMPLES.md 839 B
- references/INTAKE.md 1.6 KB
- references/RUBRIC.md 2.4 KB
- references/SOURCE_SUMMARY.md 1.7 KB
- references/TEMPLATES.md 2.8 KB
- references/WORKFLOW.md 3.0 KB
- skillpack.json 379 B
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 · 129 lines · 35 tokens per session scan A bd2dc48723f3
evaluating-trade-offs is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,142 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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