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 agentmods add skills/hiai-gg/hiai-opencode/systematic-debuggingnpx skills add HiAi-gg/hiai-opencode --skill systematic-debugginggit clone --depth 1 https://github.com/HiAi-gg/hiai-opencodeWrote 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/hiai-gg/hiai-opencode/systematic-debugging)<a href="https://agentmods.dev/skills/hiai-gg/hiai-opencode/systematic-debugging"><img src="https://agentmods.dev/badge/skills/hiai-gg/hiai-opencode/systematic-debugging.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.04611 |
| Opus 5 | $0.00010 | $0.02305 |
| Sonnet 5 | $0.00004 | $0.00922 |
| Haiku 4.5 | $0.00002 | $0.00461 |
Grade A, and why
systematic-debugging 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 594 lines · 21 tokens per session scan A edbcd6656951
systematic-debugging is a skill published in the GitHub repository HiAi-gg/hiai-opencode (16 stars, last pushed 7d ago), with no licence file. It adds 21 tokens to every session and 4,611 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 2026-08-30.
Other skills, from other repositories
context-steward
Full context lifecycle — ingest, filter, 3-pass prune, protect, summarize, persist. Load on demand when executing a prune. Triggers are in context-steward-triggers (alwayson).
java-patterns
Modern Java 17+ patterns — records, sealed classes, Stream API, CompletableFuture, Spring Boot, JPA. Activate when writing or reviewing Java.
python-patterns
Python idioms — type hints, dataclasses, async/await, generators, pytest, common pitfalls. Activate when writing or reviewing Python code.
research-first
Strict research hierarchy before writing code — search codebase, docs, web, and registries in order.
rust-patterns
Rust patterns covering ownership, lifetimes, error handling, traits, async with Tokio, and smart pointers. Activate when writing or reviewing Rust.
context-budget
Optimize token usage and context window discipline. Reduce costs and improve response quality through smart context management.