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 jvanderberg/wikimemory --skill wikimemory-ingestgit clone --depth 1 https://github.com/jvanderberg/wikimemoryWrote 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/jvanderberg/wikimemory/wikimemory-ingest)<a href="https://agentmods.dev/skills/jvanderberg/wikimemory/wikimemory-ingest"><img src="https://agentmods.dev/badge/skills/jvanderberg/wikimemory/wikimemory-ingest/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/jvanderberg/wikimemory/wikimemory-ingest"><img src="https://agentmods.dev/badge/skills/jvanderberg/wikimemory/wikimemory-ingest.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 | $0.00037 | $0.00391 |
| Opus 5 | $0.00018 | $0.00196 |
| Sonnet 5 | $0.00007 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
wikimemory-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 9d 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
Wikimemory Ingest
Store conclusions that will help a future session. Do not store scratch work, routine command output, chat transcripts, credentials, access tokens, private keys, or suspected secrets.
Workflow
- Use
recallbefore writing to find an existing document and avoid duplicates. For a source with a canonical URL, call exactsourceUrlrecall before text recall. - Choose a stable lowercase slug. Prefer updating the canonical project, decision, research, source, or system page over creating a near-duplicate.
- For an update, call
get, preserve relevant content, and pass its current revision ID asexpectedRevisionId. - Call
ingestwith a fresh unique operation ID and a specific reason. Use a UUID when readily available, but any stable caller-generated string up to 200 characters is valid. Supply the optional agent label only as provenance, never as identity. - If the service reports a conflict, reread the current revision, merge deliberately, and retry with a new operation ID. Never overwrite blindly.
- Report the saved slug and revision to the user.
If this workflow created the wrong page, use archive with that page's current
revision ID and a fresh operation ID. Archive preserves content and history; it is
not permanent deletion.
Keep summaries compact and metadata structured. Put custom scalar fields such as
author and published in singletonMetadata; use tags for multivalued tags. Use
links for explicit relationships. Record uncertain claims as uncertain and preserve
source attribution. A repeated call with the same operation ID must contain the
identical request; otherwise create a new operation ID.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 29 lines · 37 tokens per session scan A 3f99ab783ee9
wikimemory-ingest is a skill published in the GitHub repository jvanderberg/wikimemory (1 stars, last pushed 4d ago), licensed MIT. It adds 37 tokens to every session and 391 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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