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 commands/robinnorberg/oh-my-copilot/debuggit clone --depth 1 https://github.com/RobinNorberg/oh-my-copilotWhat 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 | $0.00000 | $0.00136 |
| Opus 5 | $0.00000 | $0.00068 |
| Sonnet 5 | $0.00000 | $0.00027 |
| Haiku 4.5 | $0.00000 | $0.00014 |
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.
This is a copy
75% identical to ask — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
OMC debug
This compatibility command keeps /oh-my-copilot:debug available without loading the full debug skill description in every Claude Code session.
Dispatch
- Read the full bundled skill instructions from the active OMC plugin/install:
skills/debug/SKILL.md. - Follow that SKILL.md exactly, treating the user's arguments as:
$ARGUMENTS
If the file is not directly readable from the current working directory, locate it under the active CLAUDE_PLUGIN_ROOT/OMC_PLUGIN_ROOT, package root, or installed OMC plugin directory, then continue.
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 · 19 lines · 0 tokens per session scan A b05b177178a8
debug is a command published in the GitHub repository RobinNorberg/oh-my-copilot (5 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 136 tokens. A static security scan graded it A with 0 findings. It is 75% identical to ask, differing in 6 lines, and is treated as a copy.
Other commands, from other repositories
speckit.assess.decide
Command "speckit.assess.decide" from github/spec-kit-copilot, covering when to run it, how to ask — always use the askuser tool, after the answers and what to ask about at the decide stage.
speckit.assess.define
Command "speckit.assess.define" from github/spec-kit-copilot, covering when to run it, how to ask — always use the askuser tool, after the answers and what to ask about at the define stage.
speckit.assess.intake
Command "speckit.assess.intake" from github/spec-kit-copilot, covering when to run it, how to ask — always use the askuser tool, after the answers and what to ask about at the intake stage.
speckit.assess.research
Command "speckit.assess.research" from github/spec-kit-copilot, covering when to run it, how to ask — always use the askuser tool, after the answers and what to ask about at the research stage.
speckit.assess.shape
Command "speckit.assess.shape" from github/spec-kit-copilot, covering when to run it, how to ask — always use the askuser tool, after the answers and what to ask about at the shape stage.
speckit.analyze
When executing this command, delegate independent work to parallel sub-agents to reduce total execution time.