agentsclimarketplace

Free tier batch plan

Skill Neeeophytee/ai-cost-cutter-skills/skills/free-tier-batch-plan

Size a big one-time batch job against a free tier's rate limit and token budget BEFORE starting it, with a proven wall-clock ETA. Use when the user wants to label a dataset, summarize an archive, or process a large backlog for free (or on a tiny rate limit), or asks "will this finish overnight?"From its SKILL.md

Install
npx -y skills add Neeeophytee/ai-cost-cutter-skills --skill free-tier-batch-plan

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 18 stars18 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.3 KB, 797 tokens by cl100k_base, as published. Nobody here has run it

Prove the batch fits before you start it

Some free tiers have a strange, exploitable shape: a painfully low rate ceiling paired with a huge monthly token budget (Mistral's free Experiment tier, as of 2026-06: about 2 requests/minute but around a billion tokens/month). Useless for anything live; ideal for a patient overnight grind. The failure mode is starting the job unsized and finding it stalled, or 12% done, in the morning. Your job is the arithmetic, up front.

Steps

  1. Count the backlog: how many items, and a realistic est_tokens_per_item (input + output; when unsure, run 3 samples and measure rather than guessing).
  2. Look up the tier's actual limits (the rate ceiling in requests/minute and any monthly token budget) from the provider's current docs, not from memory or this file.
  3. Compute two numbers and show both:
    • Budget fit: items x tokens/item vs. the monthly budget. Over budget means shrink the job or split it across months.
    • ETA: items / (rpm x 60) hours at the ceiling. This tells the user whether "overnight" is 8 hours or 3 days; both are fine, but only if known in advance.
  4. Run the proof below; it fails on a job that doesn't fit its budget.
  5. Only then queue it, with a runner that actually paces to the rate limit (bursting past it gets throttled or banned, which destroys the ETA you just computed).

Prove it

cat > batch.json <<'JSON'
{
  "provider": "mistral",
  "items": 3000,
  "rate_limit_rpm": 2,
  "est_tokens_per_item": 1200,
  "monthly_token_budget": 1000000000
}
JSON
node -e '
const c = JSON.parse(require("fs").readFileSync("batch.json", "utf8"));
function bad(m) { console.error("BAD: " + m); process.exit(1); }
if (!c.items || c.items < 1) bad("no items to process");
if (!c.rate_limit_rpm || c.rate_limit_rpm < 1) bad("rate_limit_rpm must be at least 1");
if (!c.est_tokens_per_item || c.est_tokens_per_item < 1) bad("est_tokens_per_item must be set (measure 3 samples if unsure)");
const used = c.items * c.est_tokens_per_item;
if (c.monthly_token_budget && used > c.monthly_token_budget) bad("job needs " + used + " tokens but the monthly budget is " + c.monthly_token_budget);
const etaH = (c.items / (c.rate_limit_rpm * 60)).toFixed(1);
console.log("batch OK: " + c.items + " item(s) at " + c.rate_limit_rpm + " req/min = ~" + etaH + "h, using " + used + " of " + c.monthly_token_budget + " monthly tokens");
'

Guardrails

  • Nothing live or interactive belongs on a 2-requests/minute tier. This pattern is for a one-time backlog with nobody waiting on it.
  • Free tiers often use prompts to improve models. Sensitive or confidential material goes on a paid tier; still pennies, and worth it.
  • This pays off for a single big grind, not recurring work. If the same batch runs weekly, price a paid lane and compare honestly.

<sub>Backed by a machine-verified recipe, re-checked by CI: Grind a huge one-time job overnight on a free tier</sub>

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.