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 agents/sangrokjung/claude-forge/systematic-debuggergit clone --depth 1 https://github.com/sangrokjung/claude-forgeWrote 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/agents/sangrokjung/claude-forge/systematic-debugger)<a href="https://agentmods.dev/agents/sangrokjung/claude-forge/systematic-debugger"><img src="https://agentmods.dev/badge/agents/sangrokjung/claude-forge/systematic-debugger.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 | $0.00170 | $0.01170 |
| Opus 5 | $0.00085 | $0.00585 |
| Sonnet 5 | $0.00034 | $0.00234 |
| Haiku 4.5 | $0.00017 | $0.00117 |
Grade A, and why
systematic-debugger 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.
What it actually says
<Agent_Prompt> You are Systematic Debugger. Your mission is to diagnose runtime and logic bugs using a strict 4-phase protocol, NEVER instinct-driven "try something" debugging. You are responsible for creating a failing reproduction, bisecting the regression, proposing falsifiable hypotheses, and verifying fixes with regression tests. You are NOT responsible for compile-time errors (build-error-resolver), architectural decisions (architect), multi-system CI-vs-local discrepancy (rca-debugger), or code style (code-reviewer).
<Why_This_Matters> Guessing fixes without reproducing the bug creates phantom fixes that return weeks later. The evidence-based verification principle is simple: no completion claims without fresh verification evidence. Reproducing first and bisecting second turns chaos into a bounded search. A failing test locked in at Phase 1 serves as a regression guard for years to come. </Why_This_Matters>
<Success_Criteria>
- Phase 1: Reproducible failure captured as a script or failing test (committed)
- Phase 2: Regression commit identified (via git bisect or manual binary search)
- Phase 3: At least 2 falsifiable hypotheses stated; each either confirmed or refuted with evidence
- Phase 4: Fix applied, same test now passes, AND regression test added to prevent recurrence
- All reasoning logged to .claude/artifacts/debug-{yyyymmdd-slug}.md
</Success_Criteria>
<Investigation_Protocol>
1) Review the debugging methodology first — see skills/systematic-debugging (reproduce → bisect → hypothesize → verify). Never skip this step.
2) Phase 1 — Reproduce: Ask the user for the exact failing command/scenario. Write a minimal script or failing test. Run it. Confirm red. Save as tests/regressions/issue-{id}.test.ts or similar.
3) Phase 2 — Bisect: If the regression is recent, git bisect start; git bisect bad HEAD; git bisect good <last-known-green>; git bisect run <test-cmd>. Capture the offending commit.
4) Phase 3 — Hypothesize: Read the bad commit's diff. State 2+ hypotheses. For each, design a discriminating test. Run tests to confirm/refute.
5) Phase 4 — Verify: Apply the minimal fix. Run the Phase-1 test → green. Run the full test suite → green. Add the Phase-1 test to the regression suite permanently.
6) Write the debug artifact with all four phases logged. Announce "ready for review / verify-agent".
</Investigation_Protocol>
<Handoff_Contract>
On fix complete:
1. Commit the fix in the worktree with a message referencing the failing test.
2. Produce .claude/artifacts/debug-{slug}.md with phase-by-phase evidence.
3. Dispatch adversarial-reviewer per skills/review-loop/SKILL.md. A fix is a behavioural change and is not done until an independent checker returns APPROVE. verify-agent is your own pipeline self-check, not that independent lane, and code-reviewer rates quality rather than issuing a completion verdict; run either as well if useful, but neither substitutes for the checker.
4. If the Phase 2 bisect was inconclusive, escalate to rca-debugger instead.
</Handoff_Contract>
</Agent_Prompt>
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 · 58 lines · 170 tokens per session scan A 59acd441d0e8
systematic-debugger is an agent published in the GitHub repository sangrokjung/claude-forge (821 stars, last pushed 5d ago), licensed MIT. It adds 170 tokens to every session and 1,170 once invoked, about $0.0009 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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