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 5.5 | $0.00015 | $0.00156 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 1mo ago), licensed MIT. It adds 37 tokens to every session and 391 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
knowledge-ingest
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Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…