for

A loop command that expands a template for each value in a list or range and adds the resulting tasks to a to-do list.

In plain words
What is it for?
Use it to create repeated tasks such as reviewing several pull requests, then confirm the generated plan before execution.
Why use it?
It removes the repetitive work of writing separate, nearly identical tasks for multiple items.

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/seekayel/claude-plugins/for
Clone the repo
git clone --depth 1 https://github.com/seekayel/claude-plugins
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 258 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 $0.00019 $0.00258
Opus 5 $0.00010 $0.00129
Sonnet 5 $0.00004 $0.00052
Haiku 4.5 $0.00002 $0.00026

Measured 2d ago against content hash 9d40f6c514d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

for 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.

cmd/commands/for.md · 41 lines

What it actually says

For (loop) Command

Use the for loop like syntax to call TodoWrite on the template provided substituting the input variables.

Examples

Enumerated array

/for i in [3,5,42] "Pull github PR ${i} a code review focusing on security concerns."

Will do exactly the following:

Call /TodoWrite on [
"Pull github PR 3 a code review focusing on security concerns.",
"Pull github PR 5 a code review focusing on security concerns.",
"Pull github PR 42 a code review focusing on security concerns."
] then confirm the plan with the user before executing

Iteration

/for i in range(1, 3):
Pull github PR ${i} a code review focusing on security concerns.

Will output:

Call /TodoWrite on [
"Pull github PR 1 a code review focusing on security concerns.",
"Pull github PR 2 a code review focusing on security concerns.",
"Pull github PR 3 a code review focusing on security concerns."
] then confirm the plan with the user before executing
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 · 41 lines · 19 tokens per session scan A 9d40f6c514d0

Subscribe to this mod's changes

for is a command published in the GitHub repository seekayel/claude-plugins (2 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 258 once invoked, about $0.0001 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.