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/spideynolove/claude-dotfilesWrote 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/commands/spideynolove/claude-dotfiles/detect-roles)<a href="https://agentmods.dev/commands/spideynolove/claude-dotfiles/detect-roles"><img src="https://agentmods.dev/badge/commands/spideynolove/claude-dotfiles/detect-roles.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.01089 |
| Opus 5 | $0.00012 | $0.00544 |
| Sonnet 5 | $0.00005 | $0.00218 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
detect-roles 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 7d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detect the project type from file-presence signals and generate developer roles. No LLM inference needed for detection — use deterministic file checks.
Detection Logic
Run these checks against the current working directory:
HAS_PACKAGE_JSON=false; [ -f package.json ] && HAS_PACKAGE_JSON=true
HAS_FRONTEND=false; [ -f package.json ] && grep -qE '"(react|vue|angular|next|nuxt|svelte|solid)"' package.json 2>/dev/null && HAS_FRONTEND=true
HAS_BACKEND=false; ([ -f requirements.txt ] || [ -f pyproject.toml ]) && grep -qlE '(fastapi|django|flask)' requirements.txt pyproject.toml 2>/dev/null && HAS_BACKEND=true
[ -f package.json ] && grep -qE '"(express|nestjs|hono|fastify)"' package.json 2>/dev/null && HAS_BACKEND=true
HAS_DB=false; (ls *.db docker-compose* 2>/dev/null | grep -q . || grep -rqlE '(prisma|typeorm|sqlalchemy|mongoose|drizzle)' package.json pyproject.toml 2>/dev/null) && HAS_DB=true
HAS_AI_ML=false; (grep -qlE '(torch|tensorflow|transformers|langchain|openai|anthropic)' requirements.txt pyproject.toml package.json 2>/dev/null) && HAS_AI_ML=true
HAS_SYSTEMS=false; ([ -f Cargo.toml ] || [ -f go.mod ]) && HAS_SYSTEMS=true
HAS_INFRA=false; ([ -d terraform ] || [ -d k8s ] || [ -f Dockerfile ]) && HAS_INFRA=true
HAS_DATA=false; ([ -f dbt_project.yml ] || [ -d airflow ]) && HAS_DATA=true
Classification (first match wins)
| Condition | Project Type |
|---|---|
| HAS_FRONTEND && HAS_BACKEND | web-fullstack |
| HAS_FRONTEND | web-frontend |
| HAS_BACKEND && HAS_DB | web-backend |
| HAS_AI_ML | ai-ml |
| HAS_SYSTEMS | systems |
| HAS_INFRA | infra |
| HAS_DATA | data-pipeline |
| (none match) | general |
Role Templates
Based on detected project type, propose these roles:
web-fullstack:
- architect → claude, task_types: design, review, refactor
- frontend-dev → qwen, task_types: implement, component, style
- backend-dev → qwen, task_types: implement, api, database
- tester → qwen, task_types: test, verify
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.
- 7d ago First seen · 102 lines · 24 tokens per session scan A 2812136b4a2b
detect-roles is a command published in the GitHub repository spideynolove/claude-dotfiles (2 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 1,089 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 2026-08-31.
Other commands, from other repositories
checklist
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clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.