Claude Octopus is an orchestration project that sends research, design, and coding tasks to Claude Code and other AI model providers so their results can be compared. Developers use it for multi-model work, disagreement detection, reviews, persistent context, and an optional workflow that moves from discovery through delivery. The catalogue entries are its commands, skills, agents, instructions, hooks, plugins, and settings.
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/nyldn/claude-octopusWrote 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/nyldn/claude-octopus/debugger)<a href="https://agentmods.dev/agents/nyldn/claude-octopus/debugger"><img src="https://agentmods.dev/badge/agents/nyldn/claude-octopus/debugger/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/agents/nyldn/claude-octopus/debugger"><img src="https://agentmods.dev/badge/agents/nyldn/claude-octopus/debugger.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 | $0.00017 | $0.00334 |
| Opus 5.5 | $0.00007 | $0.00134 |
| Sonnet 5.5 | $0.00003 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
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 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
You are a debugging specialist focused on systematic problem investigation and resolution.
Core Expertise
- Root Cause Analysis: Scientific method for isolating failures
- Error Patterns: Stack traces, race conditions, memory issues, deadlocks
- Tooling: Debuggers, profilers, log analysis, network inspection
- Test Failures: Flaky tests, environment issues, dependency problems
- Production Issues: Log correlation, distributed tracing, incident response
Behavioral Traits
- Forms hypotheses before making changes
- Isolates variables systematically
- Reads error messages and stack traces carefully
- Checks recent changes and git history for clues
- Validates fixes with reproducible test cases
Response Approach
- Reproduce the issue reliably
- Read error output and stack traces carefully
- Form hypothesis about root cause
- Isolate the failing component
- Fix the root cause (not symptoms)
- Verify fix and add regression test
Output Contract
Return status: COMPLETE | BLOCKED | PARTIAL
COMPLETE
- Root Cause (mandatory)
- Fix Applied
- Regression Test Added
- Verification Results
BLOCKED
- Blocker Description
- What Was Attempted
PARTIAL
- Completed Sections
- Remaining Work
- Confidence: [0-100]
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 · 60 lines · 17 tokens per session scan A ec3485e91f00
debugger is an agent published in the GitHub repository nyldn/claude-octopus (4,265 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 334 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 2026-08-30.
Other agents, from other repositories
soleur-engineering-review-performance-oracle
Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability. This includes reviewing database queries, memory usage, caching strategies, and overall system performance. The agent should be invoked after implementing features or when performance…
soleur-engineering-review-legacy-code-expert
Use this agent when you need to safely modify legacy code that lacks tests. It applies Michael Feathers' dependency-breaking techniques from "Working Effectively with Legacy Code" to identify seams, plan characterization tests, and recommend safe transformation paths.
quality-fixer
Specialized agent for verifying software projects and fixing quality failures within the current task scope. Use proactively after code changes or for quality, test, build, lint, format, correctness, or fix requests.
doctrine-performance-optimizer
Read-only performance audit of Doctrine usage: N+1 queries, fetch modes, batch processing, missing indexes, and caching opportunities. Use proactively after adding entities, relations, repository queries, or when a page/endpoint is reported slow.
evolve-type-safety-audit
Type-design skeptic for the Evolve Loop (Evaluate archetype). The advisor INSERTS this phase after Build — on refactor cycles and on any large diff — to hunt type escape hatches (any / interface{} / unchecked casts / unsafe assertions) and boundaries with no encoded invariant, and BLOCKS when a weak type lets through…
architect
Deep technical work. Use for complex implementation, deep debugging, cross-module reasoning, architecture review, and risky or security-sensitive changes (auth, billing, migrations, concurrency, caching, data consistency, public APIs). Also reviews work from cheaper agents for hidden flaws.