migrate-optimizely-plan-code

A planning command for examining how a codebase uses the Optimizely software development kit and writing a migration plan. An SDK is a package of code that lets an application use a service or platform.

In plain words
What is it for?
It helps scan Optimizely usage, record migration steps and confidence levels, resume an existing plan, and choose whether to adjust, execute, or stop.
Why use it?
It turns an Optimizely code migration into a documented plan while preventing accidental code edits or pull requests during planning.

Command

Install

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.

agentmods
npx agentmods add commands/spotify/confidence-ai-plugins/migrate-optimizely-plan-code
Clone the repo
git clone --depth 1 https://github.com/spotify/confidence-ai-plugins
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 244 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.00244
Opus 5 $0.00023 $0.00122
Sonnet 5 $0.00009 $0.00049
Haiku 4.5 $0.00005 $0.00024

Measured 2d ago against content hash 374e77eb7def, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

migrate-optimizely-plan-code 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.

commands/migrate-optimizely-plan-code.md · 23 lines

What it actually says

Treat this slash command as /migrate-optimizely plan code.

Read skills/migrate-optimizely/SKILL.md (agent-only; do not narrate).

Follow Plan Code: Steps: overview first, then Starting Phase 2 — Code Transformation. Flags must exist in Confidence first. Resume check (.claude/plans/optimizely-code-migration-*.md). No code edits. No PRs.

After Overall is ✓ complete, ASK the Step 5 exit question in SKILL.md (required — there is no automatic path into adjust): (1) Adjust code, (2) Execute code, (3) Done for now. If they pick (1), enter adjust in the same turn; do not require /migrate-optimizely adjust code.

Changes

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.

  1. 2d ago First seen · 23 lines · 46 tokens per session scan A 374e77eb7def

Subscribe to this mod's changes

migrate-optimizely-plan-code is a command published in the GitHub repository spotify/confidence-ai-plugins (8 stars, last pushed 11d ago), licensed Apache-2.0. It adds 46 tokens to every session and 244 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.