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/danielsmithdevelopment/clawql/clawql-memory-ingestnpx skills add danielsmithdevelopment/ClawQL --skill clawql-memory-ingestgit clone --depth 1 https://github.com/danielsmithdevelopment/ClawQLWrote 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/danielsmithdevelopment/clawql/clawql-memory-ingest)<a href="https://agentmods.dev/skills/danielsmithdevelopment/clawql/clawql-memory-ingest"><img src="https://agentmods.dev/badge/skills/danielsmithdevelopment/clawql/clawql-memory-ingest.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 | $0.00027 | $0.00259 |
| Opus 5 | $0.00014 | $0.00130 |
| Sonnet 5 | $0.00005 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
clawql-memory-ingest 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
ClawQL memory_ingest workflows
When to apply
- A meaningful outcome needs durable memory.
- You are ending a complex debugging or implementation thread.
Workflow
- Use stable
titlefor topic continuity. - Set OKF
typewhen known (decision,context,error,runbook, …); defaults tocontext. - For
type: decision, prefer Claim / Grounds / Supports / Attacks / Decision sections — seedocs/memory/okf-decision-rationale.md. - Add concise
insightsand decisions (optionaldescriptionfor frontmatter summary). - Add
wikilinksto related notes; optionalcorrelationId/wormReffor audit trails. - Use
sessionIdandappend: truefor long-running threads. - Prefer
toolOutputsFilefor large artifacts.
Guardrails
- Never include secrets.
- Keep raw logs in tool outputs, not insight prose.
- Prefer OKF-compatible fields — see
docs/memory/okf.md.
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 · 28 lines · 27 tokens per session scan A 1b0ce672a223
clawql-memory-ingest is a skill published in the GitHub repository danielsmithdevelopment/ClawQL (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 27 tokens to every session and 259 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 2026-08-30.
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