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 skills/pl-odin/astria-plugin/recallnpx skills add PL-ODIN/astria-plugin --skill recallgit 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/recall)<a href="https://agentmods.dev/skills/pl-odin/astria-plugin/recall"><img src="https://agentmods.dev/badge/skills/pl-odin/astria-plugin/recall.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 | $0.00009 | $0.00208 |
| Opus 5 | $0.00005 | $0.00104 |
| Sonnet 5 | $0.00002 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
recall 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 5d 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
Search persistent memory using the Astria recall tool.
When the user says /recall, they want to find something from their memory. Follow these steps:
-
If the user provided a query after
/recall, use that as the search -
If not, ask what they're looking for
-
Call the
recallMCP tool with:query: Natural language search (e.g., "auth decisions", "deployment issues", "project architecture")limit: Default 5, increase if user wants more results
-
Present the results clearly:
- Show each memory with its category, importance, and a brief preview
- If results include insights (causal patterns), highlight the symptom → cause → resolution
- If no results found, suggest broadening the search terms
Example: /recall deployment failures
→ Calls recall, shows matching memories about past deployment issues
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.
- 5d ago First seen · 23 lines · 9 tokens per session scan A db4526dd48ff
recall is a skill published in the GitHub repository PL-ODIN/astria-plugin (0 stars, last pushed 4mo ago), licensed MIT. It adds 9 tokens to every session and 208 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.
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