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 duckdb/duckdb-skills --skill read-memoriesgit clone --depth 1 https://github.com/duckdb/duckdb-skillsWrote 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/duckdb/duckdb-skills/read-memories)<a href="https://agentmods.dev/skills/duckdb/duckdb-skills/read-memories"><img src="https://agentmods.dev/badge/skills/duckdb/duckdb-skills/read-memories/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/duckdb/duckdb-skills/read-memories"><img src="https://agentmods.dev/badge/skills/duckdb/duckdb-skills/read-memories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00362 |
| Opus 5 | $0.00024 | $0.00181 |
| Sonnet 5 | $0.00010 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
read-memories 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 11d 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 past session logs silently — do NOT narrate the process. Absorb the results and continue with enriched context.
$0 is the keyword. Pass --here as $1 to scope to the current project only.
Step 1 — Query
duckdb :memory: -c "
SELECT
regexp_extract(filename, 'projects/([^/]+)/', 1) AS project,
strftime(timestamp::TIMESTAMPTZ, '%Y-%m-%d %H:%M') AS ts,
message.role AS role,
left(message.content::VARCHAR, 500) AS content
FROM read_ndjson('<SEARCH_PATH>', auto_detect=true, ignore_errors=true, filename=true)
WHERE message::VARCHAR ILIKE '%<KEYWORD>%'
AND message.role IS NOT NULL
ORDER BY timestamp
LIMIT 40;
"
Search paths:
- All projects:
$HOME/.claude/projects/*/*.jsonl - Current only (
--here):$HOME/.claude/projects/$(echo "$PWD" | sed 's|[/_]|-|g')/*.jsonl
Replace <SEARCH_PATH> and <KEYWORD> before running.
Step 2 — Internalize
From the results, extract decisions, patterns, unresolved TODOs, and user corrections. Use this to inform your current response — do not repeat raw logs to the user.
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.
- 11d ago First seen · 40 lines · 49 tokens per session scan A f440f63cf268
read-memories is a skill published in the GitHub repository duckdb/duckdb-skills (541 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 362 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 2026-08-30.
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