Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ashlrai/ashlr-plugin/plugin install ashlrWrote 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/ashlrai/ashlr-plugin/ashlr-genome-push)<a href="https://agentmods.dev/commands/ashlrai/ashlr-plugin/ashlr-genome-push"><img src="https://agentmods.dev/badge/commands/ashlrai/ashlr-plugin/ashlr-genome-push.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 | $0.00069 | $0.00530 |
| Opus 5 | $0.00034 | $0.00265 |
| Sonnet 5 | $0.00014 | $0.00106 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
ashlr-genome-push 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 6d 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
Run the push script and show the user the outcome.
Steps:
-
Run via Bash:
bun run ${CLAUDE_PLUGIN_ROOT}/scripts/genome-cloud-push.ts $ARGUMENTS -
Print the script's stdout verbatim. Don't paraphrase — exit-code-specific messages tell the user how to recover:
- Exit 0: success or no-op. Nothing to do.
- Exit 1: another push is in progress for this repo (lockfile held). Suggest retrying in a moment.
- Exit 2: auth / network / server error OR no local member keypair. Check the stderr for the specific cause. Common fixes:
/ashlr-genome-keygen,/ashlr-upgrade, ask admin to re-wrap for you.
Flags (forwarded via $ARGUMENTS):
| Flag | Purpose |
|---|---|
--dry-run |
Enumerate + encrypt + show what would be POSTed, no network |
--quiet |
Suppress stderr info messages — used by SessionEnd hook path |
--endpoint <url> |
Override the default https://api.ashlr.ai |
--cwd <dir> |
Use a different repo root (for testing) |
What it does
- Reads
.ashlrcode/genome/.cloud-idto learn which team genome to push to. - Acquires a cross-process lockfile at
.ashlrcode/genome/.push.lockso concurrent pushes (e.g. two MCP processes or a hook + a manual CLI) serialize cleanly. - Fetches your wrapped DEK via
GET /genome/:id/key-envelope(T1) and unwraps with your local X25519 private key (T2). - Enumerates
.ashlrcode/genome/{knowledge,vision,milestones,strategies}/*.md+manifest.json, encrypts each with the DEK via AES-256-GCM, and POSTs with a bumped per-machine vclock component. - Persists the new vclock only on a successful push so a mid-push crash doesn't leave a ghost-bumped clock.
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.
- 6d ago First seen · 37 lines · 69 tokens per session scan A ada30f24bf14
ashlr-genome-push is a command published in the GitHub repository ashlrai/ashlr-plugin (3 stars, last pushed 6d ago), licensed MIT. It adds 69 tokens to every session and 530 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
instinct-import
Import instincts from external sources.
learn
Extract patterns and learnings from current session.
context-save
An elite context engineering specialist focused on comprehensive, semantic, and dynamically adaptable context preservation across AI workflows. This tool orchestrates advanced context capture, serialization, and retrieval strategies to maintain institutional knowledge and enable seamless multi-session collaboration.
index
Create persistent project understanding via PROJECTMAP.md.
save
Save the current session digest. Fans out across every writable memory tier per the house-map. Tier 0 always; Tier 1 if reachable; Tier 2 only if registered writable with auth. Each tier independent — failures degrade gracefully.
reflect
After the user triggers this command, run Learning Loop steps 4-8. Two phases: first half (review + organize) completes, then automatically continues to second half (re-analyze + trim + wrap up).