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/aadivar/shiplog/initgit clone --depth 1 https://github.com/aadivar/shiplogWhat 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 | $0.00000 | $0.01293 |
| Opus 5 | $0.00000 | $0.00647 |
| Sonnet 5 | $0.00000 | $0.00259 |
| Haiku 4.5 | $0.00000 | $0.00129 |
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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/shiplog init
Initialize Shiplog project tracking on the current project.
Trigger
User runs /shiplog init
Behavior
Step 1: Check if already initialized
Check if .shiplog/config.json exists. If it does, inform the user:
"Shiplog is already initialized for this project. Run
/shiplog configto modify settings."
Step 2: Detect project info
Run the stack detection script to auto-detect the tech stack:
bash scripts/detect-stack.sh
This returns a JSON array of detected technologies.
Step 3: Gather project info
Use the AskUserQuestion tool to collect project details. Ask these questions:
Question 1 — Project name & description:
- Ask: "What's your project name and a brief description?"
- If
package.json,Cargo.toml, or similar exists, suggest the name from there
Question 2 — Tech stack:
- Present the auto-detected stack and ask the user to confirm or modify
- Options: Confirm detected stack / Modify
Question 3 — Tracking mode:
- Ask: "How do you want to track features?"
- Options:
Vibe mode(Recommended) — Just build. Shiplog auto-discovers features from your commits and builds the PRD for you as you go. No upfront planning needed.Planned mode— Define features upfront in the PRD, then build. Shiplog tracks status as you work.
Question 4 — Agent model:
- Ask: "Which model should background agents use?"
- Options:
haiku(Recommended) — Fastest and cheapest, great for append-only agent worksonnet— More capable, slightly higher costopus— Most capable, highest cost
Question 5 — Background agents:
- Ask: "Which background agents do you want to enable?"
- Multi-select options (all enabled by default):
- Specs Agent — Logs architecture decisions automatically
- PRD Agent — Updates feature status from code changes
- Security Agent — Reviews for OWASP Top 10 after each task
- Memory Agent — Maintains code patterns and project memory
Step 4: Create directory structure
Create the following directories and files:
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 · 139 lines · 0 tokens per session scan A 650d49211dd7
init is a command published in the GitHub repository aadivar/shiplog (3 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,293 tokens. 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
sm-sail
Command "sm-sail" from ScienceIsNeato/slop-mop, covering /sm-sail — drive a pr to green, autonomously, the loop, when sail parks on review threads, when to stop before "pr ready" — only two reasons and expect convergence, not one pass.
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
sm-barnacle
Use when sm itself gives invalid guidance, blocks valid work, produces confusing output, or breaks install/upgrade/refit flow. Do not use this for real target-repo failures; fix those through the normal rail.
sm-scour
Run slop-mop's comprehensive pre-PR sweep for this repository.
content-ideas
Build today's For You feed — scrape tracked competitors across X, Instagram, TikTok, and YouTube, score what's performing, and turn it into actionable content ideas.
review-pr
PR을 설계문서·이슈 계약 대비로 검증 후 승인/반려 판정.