Borrowing it
Nothing to install: this file belongs to manti-by/demetra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/manti-by/demetra/master/.opencode/skills/wiki-archive/SKILL.mdgit clone --depth 1 https://github.com/manti-by/demetraWrote 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/manti-by/demetra/wiki-archive)<a href="https://agentmods.dev/skills/manti-by/demetra/wiki-archive"><img src="https://agentmods.dev/badge/skills/manti-by/demetra/wiki-archive/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/manti-by/demetra/wiki-archive"><img src="https://agentmods.dev/badge/skills/manti-by/demetra/wiki-archive.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 | $0.00019 | $0.02328 |
| Opus 5 | $0.00010 | $0.01164 |
| Sonnet 5 | $0.00004 | $0.00466 |
| Haiku 4.5 | $0.00002 | $0.00233 |
Grade A, and why
Archive old wiki pages 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 199 lines · 19 tokens per session scan A d4b8fb9cfe78
Archive old wiki pages is a skill published in the GitHub repository manti-by/demetra (7 stars, last pushed today), licensed AGPL-3.0. It adds 19 tokens to every session and 2,328 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 2026-08-31.
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remember
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture…
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wiki
LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model).
coding-prefs
Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.
remember
Review reusable project knowledge and decide what belongs in project memory, notepad, or durable docs.
session-logs
Search and analyze your own session logs (older/parent conversations) using jq.