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.
npx skills add nyldn/claude-octopus --skill skill-issuesgit 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/skills/nyldn/claude-octopus/skill-issues)<a href="https://agentmods.dev/skills/nyldn/claude-octopus/skill-issues"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-issues/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/nyldn/claude-octopus/skill-issues"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.02892 |
| Opus 5.5 | $0.00010 | $0.01157 |
| Sonnet 5.5 | $0.00005 | $0.00578 |
| Haiku 4.5 | $0.00002 | $0.00289 |
Grade A, and why
skill-issues 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.
How it starts
The opening of the file, as written. The whole thing — 512 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue Tracking
Overview
Cross-session issue tracking for persistent problem management. Issues are stored in .octo/ISSUES.md and survive across Claude Code sessions.
Core principle: Track → Resolve → Learn.
When to Use
Use this skill when user wants to:
- Track a problem or blocker for later
- Record issues discovered during development
- Review open issues across sessions
- Mark issues as resolved
- View details of specific issues
Do NOT use for:
- GitHub issue management (use gh CLI)
- Git-tracked issues (use git commands)
- Temporary todos (use TodoWrite)
Subcommands
1. List Issues (Default)
Trigger: /octo:issues or /octo:issues list
Show all open issues in table format:
## Open Issues
| ID | Severity | Category | Description | Created | Phase |
|----|----------|----------|-------------|---------|-------|
| ISS-20260203-001 | high | integration | Auth not working | 2026-02-03 | Develop |
| ISS-20260203-002 | medium | performance | Slow query performance | 2026-02-03 | Deliver |
Pattern Detection: After listing, check if 3+ open issues share the same category. If so, alert:
⚠ Pattern detected: 3 open issues in category "integration" — may indicate a systemic problem.
Implementation:
- Check if
.octo/ISSUES.mdexists - If not, initialize from template
- Read and parse Open Issues section
- Display in table format
2. Add Issue
Trigger: /octo:issues add <description>
Add new issue with auto-generated ID.
Flow:
Step 1: Gather Information
Use AskUserQuestion with two questions:
AskUserQuestion({
questions: [
{
question: "What severity is this issue?",
header: "Severity",
multiSelect: false,
options: [
{label: "critical", description: "Blocks all progress"},
{label: "high", description: "Significant impact"},
{label: "medium", description: "Should address"},
{label: "low", description: "Nice to fix"}
]
},
{
question: "What category does this issue fall into?",
header: "Category",
multiSelect: false,
options: [
{label: "logic-error", description: "Incorrect behavior or wrong output"},
{label: "integration", description: "Cross-component or API compatibility"},
{label: "quality-gate", description: "Quality gate failures during workflows"},
{label: "security", description: "Security vulnerabilities or concerns"},
{label: "performance", description: "Speed, memory, or scalability issues"},
{label: "ux", description: "User experience or usability problems"},
{label: "architecture", description: "Structural or design pattern issues"}
]
}
]
})
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 · 512 lines · 24 tokens per session scan A 937e5cdce891
skill-issues is a skill published in the GitHub repository nyldn/claude-octopus (4,320 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 2,892 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 skills, from other repositories
linear-fetch
This skill should be used when a user input contains a Linear issue reference (e.g., SOL-39 or linear.app/.../issue/ ) and the downstream agent needs the screenshots embedded in the issue as visual context.
product-roadmap
This skill should be used when roadmapping. Sub-commands: validate (read-only roadmap-vs-GitHub-milestone drift report) and next (advisory next-action, routes to soleur:go or names an operator action).
drain-labeled-backlog
This skill should be used when draining a labeled issue backlog (deferred-scope-out, code-review, type/security) in one cleanup PR. Groups by code area and delegates to soleur:one-shot.
operator-digest
This skill should be used when generating the operator's weekly private comprehension digest: reading merged PRs, expenses, resolved incidents, and open action-required issues, then writing a plain-language digest.md without posting.
triage
This skill should be used when triaging legacy local todo files in todos/. For GitHub issues, use soleur:support:ticket-triage agent.
file-todos
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with code review.