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 commands/deepfusionlabs/deep-init/customizegit clone --depth 1 https://github.com/deepfusionlabs/deep-initWhat 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 | $0.00053 | $0.00569 |
| Opus 5 | $0.00026 | $0.00284 |
| Sonnet 5 | $0.00011 | $0.00114 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
customize 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 yesterday.
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.
What it actually says
Run the deep-init skill in interactive customize mode (equivalent to --interactive). Load skills/deep-init/SKILL.md.
BEFORE any analysis, collect the run settings as type-safe button choices using the AskUserQuestion tool — the "Customize picker" flow in SKILL.md — so the user never hand-types a flag. Ask only the high-value questions (each Enter-skippable, keeping the max-quality default):
- Depth & speed — Deep (default) / Thorough / Fast
- Issue detection — All families (default) / Core only (IF-1…IF-5) / Off
- Outputs — Report (Docs+Insights) / SARIF (multi-select; both on by default)
- Scope — Whole repo (default) / Pick components
- Cost ceiling — $25 (default) / $50 / Custom
- Freshness & notifications — Keep defaults / Configure… / Turn the nudge off / Pause in this repo
Question 6 governs the proactive freshness surfaces (the SessionStart staleness nudge + commit breadcrumb / auto-update). Unlike 1–5 it controls future behavior, so on Configure… drill into a short follow-up AskUserQuestion (session-start nudge on/off · cadence window/session/always + window-hours [default window/24h] · decline back-off notify-snooze-hours [default 1 week] · commit breadcrumb · auto-update · install the commit hook) and — per the SKILL.md Freshness controls spec — persist the chosen freshness keys ONLY on an explicit confirmation, via the surgical schema-validating writer (python "${CLAUDE_PLUGIN_ROOT}/tools/freshness_config.py" --root <repo> --set <key>=<value> --apply; Pause in this repo writes .claude/.deepinit-no-nudge instead). This is the one narrow exception to "a run never writes .ai/deepinit.config" — never hand-edit, never write without the user's "yes".
Then resolve the effective settings (max-quality defaults ← .ai/deepinit.config ← the picker answers), echo the one-line resolved panel, and run the full pipeline. Anything the picker does not cover stays available in .ai/deepinit.config (schema-validated) or as a flag.
$ARGUMENTS
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.
- yesterday First seen · 21 lines · 53 tokens per session scan A 794c7bf2a216
customize is a command published in the GitHub repository deepfusionlabs/deep-init (6 stars, last pushed 12d ago), licensed MIT. It adds 53 tokens to every session and 569 once invoked, about $0.0003 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
fleet-conformance
Scan every repo on the machine for guardrails, testing, and observability conformance; audit the deltas semantically; produce a fleet report; and propose canary-first remediation.
claude-md-migrate
Rewrite a bloated or stale CLAUDE.md into a lean, verified "map, not wishes" file — nothing invented, hard rules preserved verbatim.
claude-md-new
Scaffold a CLAUDE.md for this repo from battle-tested templates, filled in with the project's real commands.
implement-review
One agent implements a task, then reviews its own work behind a hard verification gate before finalizing.
project-init
Stand up the context layers for a project — a thin pointer-style AGENTS.md plus seed compass maps — without touching the memory layer.
claude-md-audit
Grade this repo's CLAUDE.md / AGENTS.md (0–100) and return a worst-first fix list.