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 agentmods add skills/mountainunicorn/add/initnpx skills add MountainUnicorn/add --skill initgit clone --depth 1 https://github.com/MountainUnicorn/addWhat 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 | $0.00018 | $0.07623 |
| Opus 5 | $0.00009 | $0.03811 |
| Sonnet 5 | $0.00004 | $0.01525 |
| Haiku 4.5 | $0.00002 | $0.00762 |
Grade A, and why
init 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 2d 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 — 646 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADD Init Command v{{VERSION}}
Initialize Agent Driven Development for this project. This command conducts a structured interview to understand the project, then scaffolds the full ADD framework.
Modes
| Flag | Purpose | Questions | Target user |
|---|---|---|---|
| (none) | Full interview — detects adoption vs greenfield, runs Phases 0-5 | ~12 | New projects with non-trivial scope or existing codebases |
--quick |
Greenfield fast path — 5 essential questions, sensible defaults elsewhere | 5 | Prototypes, solo projects, time-constrained onboarding |
--defaults |
True non-interactive init — every value derived or defaulted, zero questions | 0 | Headless sessions (claude -p, codex exec), CI pipelines |
--reconfigure |
Re-run interview preserving existing answers as defaults | ~12 | Updating an already-initialized project |
--sync-registry |
Read-only: reconcile ~/.claude/add/projects/{name}.json with ground truth |
0 | Fixing drift detected by the registry-sync rule |
Quick Mode (--quick)
Greenfield fast path. Skips adoption detection, skips profile-derived questions, and defaults anything that isn't one of the 5 essential answers. Use when you want ADD initialized in ~2 minutes.
The 5 questions
- Name — "Project name? (defaults to directory basename:
{current_dir_name})" - Languages / frameworks — "What's the primary stack? (e.g., 'python+fastapi', 'typescript+react', 'go', 'rust+axum')"
- Environment tier — "Deployment scope: 1 (local only), 2 (local + prod), or 3 (local + dev + staging + prod)? (default: 2)"
- Maturity — "Project maturity: poc, alpha, beta, or ga? (default: alpha)"
- Autonomy — "Agent autonomy level: guided (ask often), balanced (default), or autonomous (trust)? (default: balanced)"
Defaults applied
Everything else that the full interview asks is defaulted:
| Area | Quick-mode default |
|---|---|
| PRD depth | 1-pager generated from (name, stack, scope-paragraph prompt) |
| Quality mode | strict for beta/ga, standard for alpha, spike for poc |
| CI/CD provider | Inferred from .github/ if present, otherwise none |
| Commit convention | Conventional commits |
| Protected branches | [main] |
| Coverage threshold | 80% at beta/ga, 50% at alpha, 0 at poc |
| Branding palette | Default ADD raspberry (#b00149) until /add:brand is run |
| Image generation | enabled: false, nudged: false |
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.
- 2d ago First seen · 646 lines · 18 tokens per session scan A ea32d5ee2c45
init is a skill published in the GitHub repository MountainUnicorn/add (11 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 7,623 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.
Other skills, from other repositories
swarm
Launching multi-agent parallel work with the Agentic SDLC. Use when a task benefits from decomposition into parallel subtasks.
finish
Completing a development branch for merge readiness. Use when implementation and tests pass and the branch needs formal preparation for review and merge.
grill
Interrogating requirements to validate before building. Use before swarm decomposition, design decisions on ambiguous features, or when scope creep risk is high.
team
Referencing the agent roster, roles, coordination model, and dispatch modes. Use when spawning agents or checking permissions.
ticket
Associate every PDS task with a GitHub issue. Orchestrator finds or creates the ticket, posts plan and acceptance criteria as a checkbox list, updates it as work progresses. Use at Phase 1 of every swarm.
triage
Triage insights into actionable GitHub issues across repos. Use after running /insights to convert analysis into tracked work.