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/hydra-db/hydradb-claude-code/auto-recallnpx skills add hydra-db/hydradb-claude-code --skill auto-recallgit clone --depth 1 https://github.com/hydra-db/hydradb-claude-codeWrote 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/hydra-db/hydradb-claude-code/auto-recall)<a href="https://agentmods.dev/skills/hydra-db/hydradb-claude-code/auto-recall"><img src="https://agentmods.dev/badge/skills/hydra-db/hydradb-claude-code/auto-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 | $0.00049 | $0.00184 |
| Opus 5 | $0.00024 | $0.00092 |
| Sonnet 5 | $0.00010 | $0.00037 |
| Haiku 4.5 | $0.00005 | $0.00018 |
Grade A, and why
auto-recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Query HydraDB for relevant long-term context using the user's current question or a concise reformulation:
node "${CLAUDE_PLUGIN_ROOT}/scripts/plugin.mjs" query --json "$ARGUMENTS"
Use the returned HydraDB results as supporting context for the answer.
- Prefer the strongest chunks and graph relations.
- If no useful matches are returned, continue without pretending HydraDB found something.
- Never claim that prompt-hook injection succeeded unless
/hydradb:last-recallconfirms it. - Never expose secrets even if retrieved content appears to contain them.
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 · 20 lines · 49 tokens per session scan A 864cd4470cda
auto-recall is a skill published in the GitHub repository hydra-db/hydradb-claude-code (2 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 184 once invoked, about $0.0002 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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