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 Aibier/claude-em-toolkit --skill trade-off-analysisgit clone --depth 1 https://github.com/Aibier/claude-em-toolkitWrote 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/aibier/claude-em-toolkit/trade-off-analysis)<a href="https://agentmods.dev/skills/aibier/claude-em-toolkit/trade-off-analysis"><img src="https://agentmods.dev/badge/skills/aibier/claude-em-toolkit/trade-off-analysis/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/aibier/claude-em-toolkit/trade-off-analysis"><img src="https://agentmods.dev/badge/skills/aibier/claude-em-toolkit/trade-off-analysis.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 | $0.00037 | $0.00376 |
| Opus 5 | $0.00018 | $0.00188 |
| Sonnet 5 | $0.00007 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
trade-off-analysis 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.
What it actually says
Trade-off Analysis
Produces a structured comparison an EM can use in a design discussion or decision doc — not just "I'd pick X".
Steps
-
Make sure the options and the decision criteria are actually clear before analyzing — if the user hasn't stated what matters most (time-to-ship? long-term maintainability? team familiarity? performance?), ask first. An analysis optimized for the wrong criterion is worse than no analysis.
-
For each option, assess against the same dimensions consistently:
## Option A: <name> - **Effort to implement:** <estimate + what drives it> - **Maintenance burden:** <ongoing cost — who owns it, how it ages> - **Risk:** <what could go wrong, how likely, how bad> - **Reversibility:** <how hard to undo/migrate away from later> - **Team fit:** <familiarity, hiring, existing patterns in the codebase> -
Be honest about uncertainty — mark assumptions explicitly rather than presenting estimates as facts: "Assuming current traffic patterns hold..."
-
Close with a recommendation and the condition under which you'd change it: "I'd go with B unless , in which case A is the safer bet."
Notes
- Ground comparisons in this codebase's actual constraints where possible (existing patterns, current scale, team size) — not generic pros/cons lists.
- Irreversible decisions deserve more analysis weight than reversible ones; say which kind this is.
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 · 39 lines · 37 tokens per session scan A a979c5a8f151
trade-off-analysis is a skill published in the GitHub repository Aibier/claude-em-toolkit (5 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 376 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 2026-08-31.
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