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 nerdai/llm-agents-from-scratch --skill stop-at-onegit clone --depth 1 https://github.com/nerdai/llm-agents-from-scratchWrote 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/nerdai/llm-agents-from-scratch/stop-at-one)<a href="https://agentmods.dev/skills/nerdai/llm-agents-from-scratch/stop-at-one"><img src="https://agentmods.dev/badge/skills/nerdai/llm-agents-from-scratch/stop-at-one/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/nerdai/llm-agents-from-scratch/stop-at-one"><img src="https://agentmods.dev/badge/skills/nerdai/llm-agents-from-scratch/stop-at-one.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00350 |
| Opus 5.5 | $0.00011 | $0.00140 |
| Sonnet 5.5 | $0.00005 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
stop-at-one 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- hailstone-sequence — 91% identical, 8 lines differ
What it actually says
Stop At One
Compute a full sequence from a starting number down to 1
using the next_number tool.
Arguments
The user must provide a starting number (a positive integer greater than 1).
If no starting number is given, ask the user before proceeding.
Steps
1. Initialize
Set the current number x to the starting number provided by the user.
Begin tracking the sequence as a list: [x].
2. Call the tool
Call next_number with the current value of x.
next_number(x=<current_number>)
STOP and WAIT for the tool result before continuing.
3. Record the result
Append the returned value to the sequence list.
Set x to the returned value.
4. Check termination
- If
x == 1, proceed to Step 5. - Otherwise, go back to Step 2.
Important rules:
- NEVER fabricate or simulate tool call results.
- NEVER make multiple tool calls in a single response.
- ALWAYS wait for the actual tool response before deciding next steps.
5. Report the result
Print the complete sequence from start to finish, for example:
6 → 3 → 10 → 5 → 16 → 8 → 4 → 2 → 1
Also report:
- Starting number
- Total steps taken (number of tool calls made)
- Maximum value reached in the 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.
- 2mo ago First seen · 63 lines · 27 tokens per session scan A e3a0530a0572
stop-at-one is a skill published in the GitHub repository nerdai/llm-agents-from-scratch (194 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 350 once invoked, about $0.0001 per session on Opus 5.5. 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.
stop-at-one compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stop-at-onenerdai/llm-agents-from-scratch | Skill | 194 | yesterday | Apache-2.0 | A | 27 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |