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/sourikduttanyu/astral/helpgit clone --depth 1 https://github.com/sourikduttanyu/astralWrote 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/sourikduttanyu/astral/help)<a href="https://agentmods.dev/commands/sourikduttanyu/astral/help"><img src="https://agentmods.dev/badge/commands/sourikduttanyu/astral/help.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 | $0.00009 | $0.00204 |
| Opus 5 | $0.00005 | $0.00102 |
| Sonnet 5 | $0.00002 | $0.00041 |
| Haiku 4.5 | $0.00001 | $0.00020 |
Grade A, and why
help 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 4d 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.
What it actually says
Show the user this quick reference (keep it short):
Astral — context-budget manager. Never hit autocompact; shed done work instead.
- Runs automatically: warns at 40/55/70% context with what's DONE.
/astral:checkpoint— pick finished work to shed → writes durable summary + hands you a steered/compactline./astral:status— current context level + done vs in-flight./astral:audit— find never-used / stale agents + skills that bloat every session; prune them (reversible).- Large reads auto-suggest a subagent (keeps context lean).
- Starting unrelated work → Astral suggests
/clearfirst.
Tune via env: ASTRAL_WINDOW, ASTRAL_BUCKETS, ASTRAL_READ_TOKENS.
Repo: https://github.com/sourikduttanyu/astral
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.
- 4d ago First seen · 18 lines · 9 tokens per session scan A 9fd1e056d50f
help is a command published in the GitHub repository sourikduttanyu/astral (1 stars, last pushed 2mo ago), licensed MIT. It adds 9 tokens to every session and 204 once invoked, about $0.0000 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
smartcompact
Pin important turns before compacting — pins survive compaction via SessionStart hook reinjection.
recall-maintain
Run maintenance on the memory system. Primary function: pressure-based demotion when working memory exceeds the word budget. Secondary: stale entry verification, contradiction checks, open loop review.
recall-init-ids
Add ^tr IDs to untagged memory entries in managed files. This is safe to run multiple times - it only tags entries that don't already have IDs.
recall-init
Initialize the Total Recall memory system in this project.
recall-write
Write a note to memory, applying the write gate. Default destination: daily log.
recall-promote
Review recent daily logs and surface candidates for promotion to registers or CLAUDE.local.md.