Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zhaixin244-wq/fnwnpx agentmods add skills/zhaixin244-wq/fnw/wiki-ingestWrote 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/zhaixin244-wq/fnw/wiki-ingest)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/wiki-ingest"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/wiki-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/zhaixin244-wq/fnw/wiki-ingest"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/wiki-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 | $0.00081 | $0.03205 |
| Opus 5 | $0.00041 | $0.01603 |
| Sonnet 5 | $0.00016 | $0.00641 |
| Haiku 4.5 | $0.00008 | $0.00320 |
Grade A, and why
wiki-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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- wiki-ingest — 95% identical, 17 lines differ
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wiki-ingest: Source Ingestion
Read the source. Write the wiki. Cross-reference everything. A single source typically touches 8-15 wiki pages.
Syntax standard: Write all Obsidian Markdown using proper Obsidian Flavored Markdown. Wikilinks as [[Note Name]], callouts as > [!type] Title, embeds as ![[file]], properties as YAML frontmatter. If the kepano/obsidian-skills plugin is installed, prefer its canonical obsidian-markdown skill for Obsidian syntax reference. Otherwise, follow the guidance in this skill.
Delta Tracking
Before ingesting any file, check .raw/.manifest.json to avoid re-processing unchanged sources.
# Check if manifest exists
[ -f .raw/.manifest.json ] && echo "exists" || echo "no manifest yet"
Manifest format (create if missing):
{
"sources": {
".raw/articles/article-slug-2026-04-08.md": {
"hash": "abc123",
"ingested_at": "2026-04-08",
"pages_created": ["wiki/sources/article-slug.md", "wiki/entities/Person.md"],
"pages_updated": ["wiki/index.md"]
}
}
}
Before ingesting a file:
- Compute a hash:
md5sum [file] | cut -d' ' -f1(orsha256sumon Linux). - Check if the path exists in
.manifest.jsonwith the same hash. - If hash matches, skip. Report: "Already ingested (unchanged). Use
forceto re-ingest." - If missing or hash differs, proceed with ingest.
After ingesting a file:
- Record
{hash, ingested_at, pages_created, pages_updated}in.manifest.json. - Write the updated manifest back.
Skip delta checking if the user says "force ingest" or "re-ingest".
URL Ingestion
Trigger: user passes a URL starting with https://.
Steps:
- Fetch the page using WebFetch.
- Clean (optional): if
defuddleis available (which defuddle 2>/dev/null), rundefuddle [url]to strip ads, nav, and clutter. Typically saves 40-60% tokens. Fall back to raw WebFetch output if not installed. - Derive slug from the URL path (last segment, lowercased, spaces→hyphens, strip query strings).
- Save to
.raw/articles/[slug]-[YYYY-MM-DD].mdwith a frontmatter header:--- source_url: [url] fetched: [YYYY-MM-DD] --- - Proceed with Single Source Ingest starting at step 2 (file is now in
.raw/).
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.
- 8d ago First seen · 277 lines · 81 tokens per session scan A e3b7074abe36
wiki-ingest is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 3,205 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
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…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.