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 skills add PL-ODIN/astria-plugin --skill astria-statsgit clone --depth 1 https://github.com/PL-ODIN/astria-pluginWrote 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/skills/pl-odin/astria-plugin/astria-stats)<a href="https://agentmods.dev/skills/pl-odin/astria-plugin/astria-stats"><img src="https://agentmods.dev/badge/skills/pl-odin/astria-plugin/astria-stats/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/pl-odin/astria-plugin/astria-stats"><img src="https://agentmods.dev/badge/skills/pl-odin/astria-plugin/astria-stats.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00200 |
| Opus 5 | $0.00008 | $0.00100 |
| Sonnet 5 | $0.00003 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
astria-stats 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 8d 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's Astria memory statistics.
When the user says /astria-stats:
-
Call the
my_memory_statsMCP tool -
Present the stats in a clean summary:
Your Astria Memory
- Memories: total count + breakdown by category
- Sessions: active + completed
- Notes: count
- Insights: count (learned patterns)
-
If there are active sessions, list them with their descriptions
-
If memory is empty, suggest:
- Use
/rememberto save important facts and decisions - Use
/session startto begin tracking work - Memory grows naturally as you work — the AI learns from every conversation
- Use
This also serves as a connection test. If the MCP tool call fails, the Astria connection isn't configured. Direct the user to run /astria-setup.
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.
- 8d ago First seen · 25 lines · 15 tokens per session scan A 285392a62815
astria-stats is a skill published in the GitHub repository PL-ODIN/astria-plugin (0 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 200 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 2026-08-31.
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