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 agentmods add skills/echoo19/decision-simulator/compare-implementation-pathsnpx skills add echoo19/decision-simulator --skill compare-implementation-pathsgit clone --depth 1 https://github.com/echoo19/decision-simulatorWhat 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 | $0.00083 | $0.00438 |
| Opus 5 | $0.00042 | $0.00219 |
| Sonnet 5 | $0.00017 | $0.00088 |
| Haiku 4.5 | $0.00008 | $0.00044 |
Grade A, and why
compare-implementation-paths 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 2d 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
Compare Implementation Paths
Compare plausible ways to achieve the same outcome. Focus on execution reality, not architecture theater.
Method
- State the shared goal first.
- Define the implementation paths as concrete execution strategies.
- Compare how each path changes delivery risk, code ownership, testing scope, rollback safety, and future evolution.
- Explain when each path is better, not just what each path is.
- Highlight migration shape: one-shot cutover, incremental adoption, dual-running, or compatibility layer.
Practical Lenses
Use the lenses that matter here:
- where complexity lands
- who owns the code after launch
- how hard the rollout and rollback are
- how much temporary glue code is required
- how much new surface area must be tested
- how observable failures will be
- whether the path creates a trap that is expensive to unwind later
Quality Bar
- Do not confuse conceptual elegance with delivery fitness.
- Penalize paths that look clean on paper but create migration or coordination pain.
- Reward incremental paths when uncertainty is high and rollback matters.
- Reward direct paths when the extra abstraction buys little and will linger forever.
Suggested Output
Goal
State the desired outcome.
Paths
List the practical implementation paths.
Where each path wins
Explain the contexts where each path is the right choice.
Operational implications
For each path, cover rollout, rollback, debugging, testing, and ownership consequences.
Include a Reversibility rating per path — High, Medium, or Low — with one sentence on what makes rollback difficult or straightforward.
Recommendation
Recommend the path that best fits the current constraints and explain the trigger for switching paths later.
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.
- 2d ago First seen · 60 lines · 83 tokens per session scan A 877f35e095fc
compare-implementation-paths is a skill published in the GitHub repository echoo19/decision-simulator (4 stars, last pushed 3mo ago), licensed MIT. It adds 83 tokens to every session and 438 once invoked, about $0.0004 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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