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/gowtham0992/link/link-ingestnpx skills add gowtham0992/link --skill link-ingestgit clone --depth 1 https://github.com/gowtham0992/linkWrote 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/gowtham0992/link/link-ingest)<a href="https://agentmods.dev/skills/gowtham0992/link/link-ingest"><img src="https://agentmods.dev/badge/skills/gowtham0992/link/link-ingest.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00338 |
| Opus 5 | $0.00022 | $0.00169 |
| Sonnet 5 | $0.00009 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
link-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 4d 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
Link Ingest
Use lnk ingest-status as the source of truth. Load this skill when the user drops files into raw/, mentions new notes/transcripts/docs, or asks what Link should learn next. In a source checkout, replace lnk with python3 link.py. The command tells you which raw files need work and which checks must run next.
- Inspect the ingest plan:
lnk ingest-status [link-root] - If Link reports secret-looking values, unreadable files, or unsafe paths, stop and ask the user to fix or redact them.
- Read only the pending raw files named by the ingest plan. Create or update one
wiki/sources/...page per raw file, and update existing concept/entity/exploration/memory pages before creating thin duplicates. - Keep durable memory proposal-only until the user approves it:
lnk propose-memories raw/<file> [link-root] - After writing wiki pages, rebuild generated indexes and validate:
lnk rebuild-index [link-root] lnk rebuild-backlinks [link-root] lnk validate [link-root] lnk health [link-root]
Do not put raw source contents into chat unless needed for the current ingest task. Preserve source paths and provenance on generated pages.
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.
- 4d ago First seen · 29 lines · 44 tokens per session scan A 8eeec9a37f47
link-ingest is a skill published in the GitHub repository gowtham0992/link (180 stars, last pushed 2d ago), licensed MIT. It adds 44 tokens to every session and 338 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
lint
Health check for the vault: runs the deterministic linter (frontmatter, dead links, orphans, duplicates, index drift) plus editorial checks (stale claims, unlinked mentions, missing pages), then fixes what the user approves. Triggers on: "lint", "revisa el vault", "health check", "chequea el wiki", "limpia el vault"…
save
File the current conversation's valuable content (analysis, decision, session summary) as a structured wiki note so it isn't lost in chat history. Triggers on: "save this", "guarda esto", "guárdalo en el wiki", "/save", "$save", "file this", "apunta esto", "guarda esta conversación", "save this session".
second-brain
Set up a new Obsidian knowledge base with the LLM Wiki pattern. Use when the user wants to create a second brain, initialize a vault, set up a personal knowledge base, or says "onboard". Guides through an interactive wizard to configure vault name, location, domain, agent support, and tooling.
second-brain-query
Answer questions against the knowledge base wiki. Use when the user asks a question about their collected knowledge, wants to explore connections between topics, says "what do I know about X", or wants to search their wiki.
llm-wiki
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
ingest-l1
L1 analysis loop for the abapwiki knowledge base: for each batch it launches the abap-analyzer sub-agent in parallel, then the adversarial judge abap-deepcheck (separate session), applies only the analyses that pass the fail-closed gate, and commits. Resumes exactly after an interruption. Use this skill to document…