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 sefodo26/mempalace-server --skill mempalace-read-docsgit clone --depth 1 https://github.com/sefodo26/mempalace-serverWrote 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/sefodo26/mempalace-server/mempalace-read-docs)<a href="https://agentmods.dev/skills/sefodo26/mempalace-server/mempalace-read-docs"><img src="https://agentmods.dev/badge/skills/sefodo26/mempalace-server/mempalace-read-docs/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/sefodo26/mempalace-server/mempalace-read-docs"><img src="https://agentmods.dev/badge/skills/sefodo26/mempalace-server/mempalace-read-docs.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 | $0.00058 | $0.00731 |
| Opus 5.5 | $0.00023 | $0.00292 |
| Sonnet 5.5 | $0.00012 | $0.00146 |
| Haiku 4.5 | $0.00006 | $0.00073 |
Grade A, and why
mempalace-read-docs scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **REST API** (`/mp/api/v1`) via `curl` — when `ENABLE_REST_API=true`. How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read documentation from MemPalace
This skill recalls documentation that was filed into MemPalace (see the
mempalace-ingest-docs skill). It supports three jobs:
- Answer a question — semantic search across the docs.
- Browse — list what is stored (wings → rooms → drawers).
- Export — reassemble a whole document.
Access
You can reach the server two ways — use whichever is available:
- MCP tools (
mempalace_*) — preferred when connected. - REST API (
/mp/api/v1) viacurl— whenENABLE_REST_API=true.
A read-only API key is enough for everything in this skill.
Job 1 — Answer a question
- Run a semantic search with the user's question.
- Read the top results, then answer from them. Quote or cite the
source_file/ wing / room so the user can verify. - If results are weak, broaden the query or raise the limit, and say so.
mempalace_search({ "query": "how do I rotate an API key?", "limit": 5 })
REST:
KEY="YOUR_READONLY_KEY"; BASE="http://localhost:8000/mp/api/v1"
curl -sS -X POST "$BASE/search" \
-H "Authorization: Bearer $KEY" -H "Content-Type: application/json" \
-d '{"query": "how do I rotate an API key?", "limit": 5}'
To stay inside one document, pass "wing": "acme-api-docs" in the search.
Job 2 — Browse
mempalace_list_wings→ which documents exist.mempalace_list_rooms({ "wing": "acme-api-docs" })→ its sections.mempalace_list_drawers({ "wing": "...", "room": "..." })→ the chunks.mempalace_get_drawer({ "drawer_id": "..." })→ one chunk in full.
REST equivalents: GET /wings, GET /rooms?wing=, GET /drawers?wing=&room=,
GET /drawers/{id}.
Job 3 — Export a whole document
list_roomsfor the wing to get every section.- For each room,
list_drawersto get its chunks (uselimit/offsetto page through all of them — do not stop at the first page). - Concatenate the drawer contents, grouped by room, in order. The breadcrumb line at the top of each drawer tells you where it belongs.
- Output clean Markdown.
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 · 71 lines · 58 tokens per session scan A 841fc8c522e3
mempalace-read-docs is a skill published in the GitHub repository sefodo26/mempalace-server (2 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 731 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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