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/kilbex/vigla/systematic-debuggingnpx skills add Kilbex/Vigla --skill systematic-debugginggit clone --depth 1 https://github.com/Kilbex/ViglaWhat 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 | $0.00026 | $0.00147 |
| Opus 5 | $0.00013 | $0.00073 |
| Sonnet 5 | $0.00005 | $0.00029 |
| Haiku 4.5 | $0.00003 | $0.00015 |
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 2d 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.
What it actually says
When something is broken:
- Reproduce it with the smallest possible input, ideally a failing test.
- Read the actual error and the surrounding code before forming a theory.
- Form ONE hypothesis, find the cheapest observation that would confirm or kill it, and check.
- Fix the root cause, not the symptom. If you cannot explain why it broke, you are not done.
- Re-run the reproduction to confirm the fix, then run the wider suite for regressions.
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.
- 2d ago First seen · 15 lines · 26 tokens per session scan A f4a461e04872
Systematic debugging is a skill published in the GitHub repository Kilbex/Vigla (116 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 147 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.
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