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-factorygit 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-factory)<a href="https://agentmods.dev/skills/nyldn/claude-octopus/skill-factory"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-factory/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-factory"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-factory.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 | $0.00022 | $0.02003 |
| Opus 5 | $0.00011 | $0.01001 |
| Sonnet 5 | $0.00004 | $0.00401 |
| Haiku 4.5 | $0.00002 | $0.00200 |
Grade A, and why
skill-factory 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 10d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STOP - SKILL ALREADY LOADED
DO NOT call Skill() again. Execute directly.
EXECUTION CONTRACT (MANDATORY — 8-step sequence, CANNOT SKIP)
STEP 1: Clarifying Questions (MANDATORY)
Ask via AskUserQuestion BEFORE any other action:
- Spec location — path to NLSpec file, or paste inline
- Satisfaction target override (Use spec default / Custom 0.80-0.99)
- Cost approval — ~$0.50-2.00 for ~20-30 agent calls (Approve / Approve --ci / Decline)
If spec path provided inline with the command, use it but still ask remaining questions. If user says "skip", use defaults and proceed. DO NOT proceed to Step 2 until answered.
STEP 2: Display Visual Indicators (MANDATORY — BLOCKING)
Check providers:
command -v codex &> /dev/null && codex_status="Available" || codex_status="Not installed"
command -v agy &> /dev/null && agy_status="Available" || agy_status="Not installed"
Display banner:
🐙 CLAUDE OCTOPUS ACTIVATED - Dark Factory Mode
Pipeline: Parse → Scenarios → Embrace → Holdout → Score → Report
Providers:
Codex CLI - <status> — Scenario generation + holdout evaluation
Antigravity CLI - <status> — Additional external-model challenge
Claude - Orchestration + satisfaction scoring
Spec: <path>
Estimated: $0.50-2.00 / 15-45 min
Validation: All external providers unavailable → continue with Claude-only (warn user about reduced diversity). At least one available → proceed normally.
STEP 3: Validate Spec File (MANDATORY — Validation Gate)
if [[ ! -f "<spec_path>" ]]; then
echo "ERROR: Spec file not found at <spec_path>"
exit 1
fi
# Check minimum content
word_count=$(wc -w < "<spec_path>")
if [[ $word_count -lt 20 ]]; then
echo "WARNING: Spec is very thin ($word_count words). Results may be limited."
fi
If spec file missing → STOP, ask user for correct path. If spec is thin (< 50 words) → WARN but proceed. DO NOT proceed past this gate if file does not exist.
STEP 4: Read Prior State (OPTIONAL)
"${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" init_state 2>/dev/null || true
"${HOME}/.claude-octopus/plugin/scripts/state-manager.sh" set_current_workflow "factory" "factory" 2>/dev/null || true
Failure → continue without state, warn user.
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.
- 10d ago First seen · 202 lines · 22 tokens per session scan A f8d85840703f
skill-factory is a skill published in the GitHub repository nyldn/claude-octopus (4,058 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 2,003 once invoked, about $0.0001 per session on Opus 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.
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