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 brunob54/superpowers-orchestrator --skill systematic-debugginggit clone --depth 1 https://github.com/brunob54/superpowers-orchestratorWrote 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/brunob54/superpowers-orchestrator/systematic-debugging)<a href="https://agentmods.dev/skills/brunob54/superpowers-orchestrator/systematic-debugging"><img src="https://agentmods.dev/badge/skills/brunob54/superpowers-orchestrator/systematic-debugging/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/brunob54/superpowers-orchestrator/systematic-debugging"><img src="https://agentmods.dev/badge/skills/brunob54/superpowers-orchestrator/systematic-debugging.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 | $0.00101 | $0.01682 |
| Opus 5.5 | $0.00040 | $0.00673 |
| Sonnet 5.5 | $0.00020 | $0.00336 |
| Haiku 4.5 | $0.00010 | $0.00168 |
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 13d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systematic Debugging
Do root-cause investigation before proposing fixes.
Iron Law
No fix without evidence for root cause.
This is non-negotiable. Every fix must trace back to a proven root cause. A fix applied without understanding why it works is not a fix — it is a mask.
Four Phases
Phase 0: Check Known Issues
- If
known-issues.mdexists at the project root, search it for the error message, error code, or failing test name. - If a match is found, try the documented solution first. If it resolves the issue, stop — no further investigation needed.
- If no match or the documented solution doesn't work, proceed to Phase 1.
Phase 1: Investigate
- Read the full error output — not just the last line.
- Reproduce the bug reliably. If you cannot reproduce, you cannot fix. For tests that fail only in certain orderings (test pollution), run
find-polluter.shfrom this skill's directory to identify which test is corrupting shared state. - Check recent changes — what changed since it last worked?
- If
context-snapshot.jsonexists at the project root: rungit rev-parse HEADand compare togit_hashin the file.- Hashes match (fresh): the
changed_filesandrecent_commitsfields answer this for the committed changes. - Hashes differ (stale): the snapshot is from a previous commit; do not use it. Run the two commands of the next line.
- Hashes match (fresh): the
- If absent: run
git log --oneline -10andgit diff HEAD~1..HEAD --name-only.
- If
- Add instrumentation (logging, breakpoints) at component boundaries.
- Multi-component systems: When the system has multiple components (CI → build → signing, API → service → database), add diagnostic logging at EACH component boundary before proposing fixes:
Example (multi-layer system):For EACH component boundary: - Log what data enters the component - Log what data exits the component - Verify environment/config propagation - Check state at each layer Run once to gather evidence showing WHERE it breaks THEN analyze evidence to identify the failing component THEN investigate that specific component
This reveals which layer fails (e.g., secrets → workflow OK, workflow → build FAILS).# Layer 1: Workflow echo "=== Secrets available in workflow: ===" echo "IDENTITY: $([ -n "${IDENTITY:+x}" ] && echo SET || echo UNSET)" # Layer 2: Build script echo "=== Env vars in build script: ===" [ -n "${IDENTITY:+x}" ] && echo "IDENTITY in environment" || echo "IDENTITY not in environment" # Layer 3: Signing script echo "=== Keychain state: ===" security list-keychains security find-identity -v # Layer 4: Actual signing codesign --sign "$IDENTITY" --verbose=4 "$APP" - Trace data/control flow backward from the error to its source.
What ships with it
5 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.
- 13d ago Changed 10807dd6e27b
- 29d ago Changed · +2 lines 137a72a48fee
- 2mo ago First seen · 142 lines · 101 tokens per session scan A 48965bdc73f1
systematic-debugging is a skill published in the GitHub repository brunob54/superpowers-orchestrator (3 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 1,682 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
verify
Execution verification for CLI/script features — runs commands and captures output for human review. Use after /exec for script changes.
logs
Use when the user wants to check Tandem's activity log, review errors, or debug hook behavior. Also use when the user mentions 'tandem logs', 'what happened', or 'tandem errors'.
tidewave-integration
Tidewave MCP runtime tools — debugging, smoke testing, live state inspection, SQL queries, hex docs. Use when evaluating code in a running Phoenix app.
anti-patterns
Catalogue of known SDLC anti-patterns that greatcto agents must actively reject when reviewing architecture, plans, code, or post-mortems. Used by architect (pre-impl), pm (planning), senior-dev (impl), l3-support (post-incident).
windows-compat
Audit and harden this Rust repo (code-graph-mcp) for Windows correctness: path-spelling drift between producers, the 32,767-char command-line cap, index-key mismatches, and path predicates that assume one ecosystem's layout. Use whenever touching code that builds, compares, prints, or stores a filesystem path; that…
resolving-merge-conflicts
Use when a git merge or rebase reports conflicts and the operation is in progress.