Shogun Bloom Config
yohey-w/multi-agent-shogun
Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capabilitytiers YAML + fixed agent model assignments.
Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself.
Install Complexity Detection
$ npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins complexity-detection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/complexity-detection .claude/skills/complexity-detection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "complexity-detection" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detection into .claude/skills/complexity-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexity-detection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins complexity-detection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/complexity-detection .agents/skills/complexity-detection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "complexity-detection" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detection into .agents/skills/complexity-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexity-detection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins complexity-detection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/complexity-detection .cursor/skills/complexity-detection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "complexity-detection" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detection into .cursor/skills/complexity-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexity-detection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/JuliusBrussee/blueprint/skills/complexity-detection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins complexity-detection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/complexity-detection .gemini/skills/complexity-detection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "complexity-detection" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detection into .gemini/skills/complexity-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexity-detection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins complexity-detectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/complexity-detection .github/skills/complexity-detection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "complexity-detection" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detection into .github/skills/complexity-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexity-detection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins complexity-detection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/JuliusBrussee/blueprint/skills/complexity-detection .opencode/skills/complexity-detection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "complexity-detection" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/JuliusBrussee/blueprint/skills/complexity-detection into .opencode/skills/complexity-detection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexity-detection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
complexity-detection- GitHub stars
- 1.2k
- Token cost
- ~1k tokens
- SKILL.md length
- 356 words
- Files
- 1
- Skills in repo
- 736
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself.
- Phrases: how complex
- SKILL.md covers Axes, Override signals, Per-depth defaults and How agents score, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Classify this task
What it does
Complexity Detection is an agent skill from hashgraph-online/awesome-codex-plugins. Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself. Used by /ck:sketch to default the kit's complexity, by /ck:map to assign task depth, and by /ck:make for per-task budgets. Also invoked by the ck:complexity agent with the haiku model. Trigger phrases: "how complex", "what depth", "pick a depth", "classify this task".
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Model routing and gateways. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
When your agent uses it
- Phrases: how complex
- Classify this task
Example prompts
- “how complex”
- “what depth”
- “pick a depth”
- “/complexity-detection”
What it can do on your machine
Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Complexity Detection loads about 1k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 356 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 356 words, ~1,004 tokens.
Download SKILL.mdSave it as
.claude/skills/complexity-detection/SKILL.md (or your agent's skills folder).- name
- complexity-detection
- description
- Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself. Used by /ck:sketch to default the kit's complexity, by /ck:map to assign task depth, and by /ck:make for per-task budgets. Also invoked by the ck:complexity agent with the haiku model. Trigger phrases: "how complex", "what depth", "pick a depth", "classify this task".
Complexity Detection
A deterministic scoring rubric. Five axes, 0–4 each, summed to 0–20.
Axes
| Axis | 0 | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|
| Files touched | 0–2 | 3–5 | 6–10 | 11–20 | 20+ |
| Type | chore / format | refactor | feature | cross-cutting | architectural |
| Judgment required | mechanical | low-ambiguity | medium | high | critical (sec/prod) |
| Cross-component | single module | two modules | three modules | many within one repo | multi-repo |
| Novelty | known pattern | rare pattern | novel | research needed | unknown unknowns |
Total score maps to:
| Score | Depth |
|---|---|
| 0 – 6 | quick |
| 7 – 13 | standard |
| 14+ | thorough |
Override signals
Upgrade one step regardless of score when any of these are true:
- Security-sensitive: authentication, authorization, crypto, secrets, PII.
- Data migration that is not reversible.
- Public API shape change (breaking).
- Performance-critical hot path with an existing SLA.
Downgrade one step only when all of these are true:
- Zero new dependencies.
- Existing tests cover the change.
- No user-visible behaviour change.
- Single file, single function.
Per-depth defaults
| Depth | Token budget | Model tier | Review | Tests |
|---|---|---|---|---|
| quick | 8 000 | haiku | optional | smoke |
| standard | 20 000 | sonnet | required | unit + integration |
| thorough | 45 000 | sonnet/opus | mandatory | unit + integration + E2E |
These defaults are recorded in .cavekit/config.json under task_budgets
and consumed by the cavekit-router.cjs model router.
Show full SKILL.md (169 more words)Show less
How agents score
The ck:complexity subagent (haiku) receives a task description and returns
a JSON blob:
{
"score": 11,
"depth": "standard",
"axes": {
"files": 2, "type": 2, "judgment": 2, "cross_component": 2, "novelty": 3
},
"overrides_applied": []
}/ck:map calls this agent per task to set depth in the task registry. If
the agent produces a score in the "thorough" band with a novelty of 4 and a
security override, it may return needs_research: true, which /ck:map must
translate into an upstream ck:researcher task dependency before the work
itself.
Integration points
/ck:sketch— runs complexity scoring on the whole domain to set the kit'scomplexity:frontmatter./ck:map— runs it per task to assigndepth./ck:make— readsdepthto size the task budget and pick the review intensity.ck:complexityagent — pure-haiku worker; does nothing else.
Anti-patterns
- Using one depth for every task in a kit "for consistency." Cost up, signal down.
- Padding depth to "be safe" — if the budget is oversized, the model wastes tokens exploring. Right-size, then raise only when verification fails.
- Ignoring overrides — scoring a login flow as "quick" because it touches one file. Security overrides exist for exactly this reason.
© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugins/JuliusBrussee/blueprint/skills/complexity-detection of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 16b4156
Compare with similar skills
Complexity Detection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Complexity Detection this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Shogun Bloom Configyohey-w/multi-agent-shogun | 1.4k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Codemie Analyticscodemie-ai/codemie-code | 294 | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | |
| Model Routernidhi-singh02/agent-router | 110 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Codex Model Routing Teamzjp1997720/codex-model-routing-team | 158 | — | ~736 | Automated safety check: Pass | MIT | |
| Add Modelget-convex/convex-evals | 129 | — | ~1.5k | Automated safety check: Notes | Apache-2.0 |
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Related
Categories
Questions about Complexity Detection
What does Complexity Detection do?
Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself. Complexity Detection is an agent skill from hashgraph-online/awesome-codex-plugins. Classify a task or feature as quick, standard, or thorough so the rest of the pipeline (budget sizing, model routing, review depth) can right-size itself.
When should I use Complexity Detection?
Complexity Detection fits situations like: phrases: how complex; classify this task.
How do I install Complexity Detection in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a claude-code`. Or copy the skill folder (plugins/JuliusBrussee/blueprint/skills/complexity-detection in hashgraph-online/awesome-codex-plugins) into .claude/skills/complexity-detection in your project. Claude Code loads it when a task matches its description.
How do I install Complexity Detection in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a codex`. Or copy the skill folder (plugins/JuliusBrussee/blueprint/skills/complexity-detection in hashgraph-online/awesome-codex-plugins) into .agents/skills/complexity-detection in your project. Codex loads it when a task matches its description.
Can I use Complexity Detection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill complexity-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/complexity-detection, .gemini/skills/complexity-detection, .github/skills/complexity-detection and .opencode/skills/complexity-detection in your project.
What does Complexity Detection need to run?
SKILL.md names no scripts, command-line tools or credentials: Complexity Detection is instructions for the agent only.
Does Complexity Detection access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Complexity Detection safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Complexity Detection use?
Complexity Detection is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Complexity Detection use?
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Complexity Detection?
Skills that share tags, products or a category with Complexity Detection: Shogun Bloom Config (yohey-w/multi-agent-shogun, 1.4k stars), Codemie Analytics (codemie-ai/codemie-code, 294 stars), Model Router (nidhi-singh02/agent-router, 110 stars) and Codex Model Routing Team (zjp1997720/codex-model-routing-team, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Complexity Detection?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.