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/zexion7873/copilot-setting/debugnpx skills add zexion7873/copilot-setting --skill debuggit clone --depth 1 https://github.com/zexion7873/copilot-settingWhat 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 | $0.00074 | $0.00721 |
| Opus 5 | $0.00037 | $0.00360 |
| Sonnet 5 | $0.00015 | $0.00144 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
debug 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debug — Workflow
Systematic isolation and minimal fix.
Phase 0 — Load canonical rules
MANDATORY pre-load gate — do NOT propose a fix (Phase 6) until you have opened the instruction files for the layers you touch. Your training data defaults to modern Java/Spring; these files are the version lock for Java 8 / Spring 3.2 / Hibernate 4.2. Open them first, every time — the negative lists in the agent body are a floor, not the full rules:
instructions/java.instructions.md— Java 8 language boundaryinstructions/spring-hibernate.instructions.md— Spring 3.2 + Hibernate 4.2instructions/sql.instructions.md— SQL injection, indexing, JDBC resourcesinstructions/sql-ddl.instructions.md— MySQL DDL & migration safety, stored proceduresinstructions/security.instructions.md— OWASP Top 10 (a bug fix can regress a security control — XSS, IDOR, injection)
Read-back receipt (self-check, not machine-enforced): before leaving this step, NAME each instruction file you opened above and QUOTE the single most load-bearing rule from each that applies to this change — a generic restatement you could have written from memory means you skipped the file, so open it for real.
Phase 1 — Define the Problem
Expected: <what should happen>
Actual: <what actually happens>
Error/Trace: <exact message, not paraphrased>
Reproducible: always / sometimes / once
Since when: recent change / always / unknown
Phase 2 — Gather Evidence
Read stack trace bottom-up — first line in YOUR code is the entry point. Check recent git changes in the affected area.
Phase 3 — Form Hypotheses
List ≥ 3 candidate causes before ranking — never investigate the first hypothesis without listing alternatives. For each: what confirms it, what refutes it, effort to verify. Verify lowest-effort hypothesis first.
Phase 4 — Isolate
Binary search on execution path: entry → failure point → check midpoint → narrow until divergence is one line.
Phase 5 — Verify Root Cause
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 · 64 lines · 74 tokens per session scan A 4c56386219e7
debug is a skill published in the GitHub repository zexion7873/copilot-setting (1 stars, last pushed 29d ago), licensed MIT. It adds 74 tokens to every session and 721 once invoked, about $0.0004 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 2026-08-31.
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