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 jimmc414/claude-code-plugin-marketplace --skill iterate-with-itertoolsgit clone --depth 1 https://github.com/jimmc414/claude-code-plugin-marketplaceWrote 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/jimmc414/claude-code-plugin-marketplace/iterate-with-itertools)<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/iterate-with-itertools"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/iterate-with-itertools/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/jimmc414/claude-code-plugin-marketplace/iterate-with-itertools"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/iterate-with-itertools.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 | $0.00025 | $0.00729 |
| Opus 5 | $0.00013 | $0.00365 |
| Sonnet 5 | $0.00005 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
iterate-with-itertools 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iterate-with-itertools
When to Use
- Need all permutations of a sequence
- Need all combinations of k items
- Need cartesian product of multiple sequences
- Chaining multiple iterables
- Grouping consecutive elements
When NOT to Use
- Simple loop is clearer
- Only need a few specific elements
- Need random access to results
The Pattern
Use itertools for memory-efficient iteration over combinatorial structures.
from itertools import permutations, combinations, product, chain
# Permutations: all orderings
list(permutations('ABC'))
# [('A','B','C'), ('A','C','B'), ('B','A','C'), ...]
# Combinations: all subsets of size k
list(combinations('ABCD', 2))
# [('A','B'), ('A','C'), ('A','D'), ('B','C'), ('B','D'), ('C','D')]
# Product: cartesian product
list(product('AB', '12'))
# [('A','1'), ('A','2'), ('B','1'), ('B','2')]
# Chain: concatenate iterables
list(chain([1,2], [3,4], [5]))
# [1, 2, 3, 4, 5]
# All are lazy - generate on demand
for perm in permutations(range(10)): # 3.6M permutations
if is_valid(perm):
break # Stop early, don't generate rest
Example (from pytudes)
from itertools import permutations, combinations, product
# TSP: try all tours (TSP.ipynb)
def brute_force_tsp(cities):
start, *rest = cities
return min(
([start] + list(perm) for perm in permutations(rest)),
key=tour_length
)
# Card hands (Probability.ipynb)
deck = [r + s for r in 'A23456789TJQK' for s in 'SHDC']
hands = combinations(deck, 5) # 2.6M hands, lazy
# Dice rolls (Probability.ipynb)
def roll(n, sides=6):
"""Distribution of sums from rolling n dice."""
from collections import Counter
die = range(1, sides + 1)
return Counter(sum(roll) for roll in product(die, repeat=n))
# Expression building (Countdown.ipynb)
for L, R in product(left_expressions, right_expressions):
for op in ['+', '-', '*', '/']:
combine(L, op, R)
# Splits of a sequence
def splits(sequence):
"""All ways to split sequence into two non-empty parts."""
return ((sequence[:i], sequence[i:])
for i in range(1, len(sequence)))
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 · 91 lines · 25 tokens per session scan A 595f606a7849
iterate-with-itertools is a skill published in the GitHub repository jimmc414/claude-code-plugin-marketplace (4 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 729 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.
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