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 yeaight7/agent-powerups --skill minimal-reproductiongit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/yeaight7/agent-powerups/minimal-reproduction)<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/minimal-reproduction"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/minimal-reproduction/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/yeaight7/agent-powerups/minimal-reproduction"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/minimal-reproduction.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 | $0.00026 | $0.00640 |
| Opus 5.5 | $0.00010 | $0.00256 |
| Sonnet 5.5 | $0.00005 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
minimal-reproduction 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 1mo 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You cannot reliably fix what you cannot reliably reproduce in isolation. Apply the subtraction method until a single file deterministically triggers the exact reported error.
When to Use
- A bug is tangled in app/UI/network layers and hard to debug in place
- A failure must be handed to another engineer, team, or upstream project
- Before bisecting or stress-testing, to get a fast deterministic signal
Inputs
- The failing code path and the error it produces
- Sample data that triggers the failure, if any
Workflow — the Subtraction Method
-
Start with the failure. Take the code path that fails.
-
Remove the UI/Network. If the bug is reported via a web request, write a script that calls the internal controller directly.
-
Mock dependencies. If the bug doesn't require the database, mock it. If it doesn't require the third-party API, mock it. Template:
// repro.js — minimal harness, no framework const { failingFunction } = require("./src/module"); const fakeDb = { query: async () => [{ id: 1, value: null }] }; // smallest stub that triggers it failingFunction(fakeDb, { payloadKey: "trigger-value" }) .then(() => { console.log("NO REPRO"); process.exit(0); }) .catch((err) => { console.error("REPRO:", err.message); process.exit(1); });(Exit
0on no-repro / non-zero on repro also makes the script directly usable bygit bisect run.) -
Prune data. If the bug fails on a 10MB JSON payload, binary search the payload down to the exact 2 keys that trigger the failure.
-
Final output. The result must be a single file — a standalone script or one test case — that relies on ZERO external state, can be run with a single command, and deterministically outputs the exact error reported.
Output
- One standalone file plus the single command that runs it (e.g.,
node repro.js) - The exact error output, proving the reproduction matches the report
Verification
- Repro runs with one command and no external state (no DB, network, or special env)
- Error produced matches the reported error exactly
- Repro is deterministic across at least 3 consecutive runs
- Every remaining line is necessary — removing any piece makes the bug disappear
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.
- 1mo ago First seen · 63 lines · 26 tokens per session scan A d7bd32e87c12
minimal-reproduction is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 19d ago), licensed Apache-2.0. It adds 26 tokens to every session and 640 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 2026-09-14.
Other skills, from other repositories
ai-discover
Read-only discovery step of the auto-improvement loop. One bounded agent turn per cycle reads the focus files (Read/Grep/Glob only, no shell, no subagents) and replies with a JSON array of testable surfaces {file, line, symbol, rule, message, hypothesis}; the spine authors fixes and verifies them. Discovery only — no…
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
simplify-code
Sequential 3-lens cleanup of recent code changes.
test-driven-development
TDD: enforce RED-GREEN-REFACTOR, tests before code.
node-inspect-debugger
Debug Node.js via --inspect + Chrome DevTools Protocol.
python-debugpy
Debug Python: pdb REPL + debugpy remote (DAP).