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.
git clone --depth 1 https://github.com/ShaheerKhawaja/ProductionOSWrote 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/commands/shaheerkhawaja/productionos/debug)<a href="https://agentmods.dev/commands/shaheerkhawaja/productionos/debug"><img src="https://agentmods.dev/badge/commands/shaheerkhawaja/productionos/debug/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/commands/shaheerkhawaja/productionos/debug"><img src="https://agentmods.dev/badge/commands/shaheerkhawaja/productionos/debug.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 | $0.00025 | $0.00615 |
| Opus 5.5 | $0.00010 | $0.00246 |
| Sonnet 5.5 | $0.00005 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00061 |
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 1mo 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
/debug — Systematic Debugging
Reproduce. Hypothesize. Test. Narrow. Fix. Never guess-and-check.
Step 0: Preamble
Run templates/PREAMBLE.md.
Step 1: Reproduce
Make the bug happen consistently:
# Run the failing test/command
# Capture the exact error output
# Note: environment, branch, recent changes
If you cannot reproduce: STOP. You cannot fix what you cannot see.
Step 2: Gather Evidence
# Recent changes that might have caused this
git log --oneline -10
# Files most recently modified
git diff --name-only HEAD~5
# Error logs
grep -r "Error\|Exception\|FAIL" logs/ 2>/dev/null | tail -20
Step 3: Generate Hypotheses
Based on evidence, generate up to $ARGUMENTS.max_hypotheses hypotheses:
| # | Hypothesis | Evidence For | Evidence Against | Test |
|---|-----------|-------------|-----------------|------|
| 1 | {cause} | {what supports this} | {what contradicts} | {how to verify} |
| 2 | ... | ... | ... | ... |
Rules:
- Rank by likelihood (most likely first)
- Each hypothesis must be testable
- Each test must be quick (< 2 min)
Step 4: Test Hypotheses
For each hypothesis, starting with most likely:
- Design a test that would confirm or eliminate it
- Run the test
- Record: CONFIRMED or ELIMINATED
- If confirmed: proceed to fix
- If eliminated: move to next hypothesis
Step 5: Fix
Once root cause identified:
- Make the MINIMUM change to fix the bug
- Run the original reproduction to verify fix
- Write a regression test
- Check for similar bugs elsewhere (same pattern)
Agent References
- Dispatch
self-healerfor automated fix attempt - Dispatch
code-reviewerto verify fix quality - Dispatch
test-architectto design regression test
Self-Eval
Run templates/SELF-EVAL-PROTOCOL.md:
- Is the root cause identified with evidence? (not guessed)
- Does the fix address the root cause? (not a symptom)
- Is there a regression test?
- Were similar bugs checked?
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.
- 1mo ago First seen · 81 lines · 25 tokens per session scan A 2bc94275d5a2
debug is a command published in the GitHub repository ShaheerKhawaja/ProductionOS (8 stars, last pushed 6mo ago), licensed MIT. It adds 25 tokens to every session and 615 once invoked, about $0.0001 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 commands, from other repositories
crystallize
After a session or an incident, turn what happened into reusable knowledge — learn captures this session's lessons, review/approve promotes incident patterns into agent improvements, skill turns a repeating procedure into a skill.
bugfix
TDD-driven bugfix workflow: tester writes failing test (RED) → developer fixes (GREEN) → developer refactors (REFACTOR) → reviewer validates. Accepts issue number, description, or both. Asks before pushing and creating a PR; --no-pr commits locally without asking.
settings
View or edit fellowship configuration (/.claude/fellowship.json). Run /settings to see current settings, change values, or reset to defaults.
guide
Interactive guide to fellowship. Walks you through a real task using the structured research-plan-implement flow, then shows you what's next.
rekindle
Recover a fellowship after a session crash. Scans worktrees and quest state, presents a recovery dashboard, and re-spawns Gandalf with recovered quest context. Use when returning to a crashed or expired fellowship session.
validate-docs
Validate that site and README documentation is current. Report-only — flags issues without modifying anything.