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/agenticnotetaking/arscontexta/verifynpx skills add agenticnotetaking/arscontexta --skill verifygit clone --depth 1 https://github.com/agenticnotetaking/arscontextaWhat 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 | $0.00061 | $0.05205 |
| Opus 5 | $0.00030 | $0.02603 |
| Sonnet 5 | $0.00012 | $0.01041 |
| Haiku 4.5 | $0.00006 | $0.00521 |
Grade A, and why
verify 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 534 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runtime Configuration (Step 0 — before any processing)
Read these files to configure domain-specific behavior:
-
ops/derivation-manifest.md— vocabulary mapping, platform hints- Use
vocabulary.notesfor the notes folder name - Use
vocabulary.note/vocabulary.note_pluralfor note type references - Use
vocabulary.verifyfor the process verb in output - Use
vocabulary.topic_mapfor MOC references - Use
vocabulary.templatesfor the templates folder path - Use
vocabulary.cmd_reflectfor redirect when missing connections found
- Use
-
ops/config.yaml— processing depth, verification settingsprocessing.depth: deep | standard | quickprocessing.verification.description_test: true | falseprocessing.verification.schema_check: true | falseprocessing.verification.link_check: true | false
If these files don't exist, use universal defaults.
Processing depth adaptation:
| Depth | Verification Behavior |
|---|---|
| deep | Full verification: cold-read prediction, complete schema check, exhaustive link verification, MOC coverage, orphan risk analysis, content staleness detection, bundling analysis |
| standard | Balanced: cold-read prediction, schema check, link verification, MOC coverage |
| quick | Basic: schema check, link verification only. Skip cold-read prediction and health analysis |
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
- If target contains a note name: verify that specific note
- If target contains
--handoff: output RALPH HANDOFF block at end - If target is "all" or "recent": verify recently created/modified notes
- If target is empty: ask which note to verify
Anti-Shortcut Warning
Before marking verification as passed, you MUST complete ALL four categories:
- COMPLETE description quality test — cold-read the title + description, predict what the note contains, compare against actual content. A description that merely restates the title FAILS.
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.
- 3d ago First seen · 534 lines · 61 tokens per session scan A b626c8e66df6
verify is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 61 tokens to every session and 5,205 once invoked, about $0.0003 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.
Other skills, from other repositories
wechat-article-ingest
微信公众号文章 → Markdown 提取 + A层观点提取 + B层问题链生成。 支持直接链接抓取和 PDF 提取两种方式。.
okf
Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a…
youtube-fetcher
Turn a YouTube video into a structured, Obsidian-ready archival Markdown note containing its transcript, creator metadata, description, chapters, language, and capture provenance. Use when a user shares a YouTube URL or video ID and wants transcripts, captions, subtitles, notes, a knowledge-base record, summarization…
deck-ai
Generate modern presentation decks (PDF) from markdown content. Local open-source alternative to Gamma — uses Slidev for layouts and Unsplash for imagery. Invoke when the user asks to "make a deck", "build slides from this", or "turn this into a presentation".
slice-init
Creates an L2 slice in the abapwiki knowledge base: a business process on which to build functional documentation. Writes the manifest (curated anchors + mandatory real owner) and derives the membership from the dependency graph (BFS hop<=2). Use this skill to start the L2 process on a custom domain. Does not promote…
ingest-l0
L0 bootstrap of the abapwiki knowledge base: creates stubs for all custom objects from the TADIR. Use this skill to initialize the repo from scratch or to ingest a new TADIR export. Deterministic operations (no LLM sub-agent), idempotent.