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 pariyar07/ariadne --skill research-pipelinegit clone --depth 1 https://github.com/pariyar07/ariadneWrote 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/pariyar07/ariadne/research-pipeline)<a href="https://agentmods.dev/skills/pariyar07/ariadne/research-pipeline"><img src="https://agentmods.dev/badge/skills/pariyar07/ariadne/research-pipeline/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/pariyar07/ariadne/research-pipeline"><img src="https://agentmods.dev/badge/skills/pariyar07/ariadne/research-pipeline.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 | $0.00043 | $0.00922 |
| Opus 5 | $0.00022 | $0.00461 |
| Sonnet 5 | $0.00009 | $0.00184 |
| Haiku 4.5 | $0.00004 | $0.00092 |
Grade A, and why
ariadne:research-pipeline 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 12d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ariadne Research Pipeline
Create the minimum repeatable research topology inside one explicitly authorized scope. This skill owns topology, not source compilation, semantic disposition, or scope creation.
Authorization
- Read root instructions and every applicable ancestor scope instruction through the target.
- Read root and local indexes, agent navigation, routing matrices, existing research hubs, and knowledge-processing architecture progressively.
- In a multi-scope vault, require a current-turn named or confirmed target. One likely match, search result, prior conversation, or current directory is not authorization.
- Inventory read-only, then state an explicit
allowed_write_set. Include the target subtree plus every individually named parent hub, routing matrix, root Base formula, or other external file to change. - Parent/root wiring is a visible obligation, never implicit authorization. Defer paths outside the set.
Use ariadne:scope when a new or promoted scope is required. Apply ariadne:navigation patterns inside this boundary; defer durable cross-scope navigation to that skill. Use ariadne:research-ingest for new material, ariadne:knowledge-capture for authorized raw and compiled writes, and ariadne:research-synthesis for semantic dispositions.
Boundary Descriptor
Create exactly one canonical Markdown research boundary descriptor identified by frontmatter rather than folder name:
---
type: research-boundary
research_schema: 1
boundary_id: stable-local-id
scope_path: Domains/Example
raw_hub: "[[Domains/Example/Raw/Sources/00 Source Index]]"
compiled_hub: "[[Domains/Example/Research/00 Research Index]]"
inquiry_hub: "[[Domains/Example/Questions/00 Questions Index]]"
synthesis_hub: "[[Domains/Example/Research/00 Example Research Synthesis]]"
thread_hub: "[[Domains/Example/Relationships/Example Research Thread]]"
view_mode: exact
rollup_boundaries: []
---
Use vault-relative paths and path-qualified links. inquiry_hub and synthesis_hub are required canonical entry points, even when the minimum pipeline is otherwise small. Only thread_hub is optional when the local workflow does not use one. view_mode: exact includes only artifacts whose research_boundary points to this descriptor. Use rollup only with explicitly listed descendant descriptors. Folder ancestry never establishes membership.
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.
- 12d ago First seen · 68 lines · 43 tokens per session scan A 3583d1193a77
ariadne:research-pipeline is a skill published in the GitHub repository pariyar07/ariadne (20 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 922 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
wiki-ingest
Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…
autoresearch
Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…
obsidian-bases
Explain, draft, and validate Obsidian Bases .base files with filters, formulas, properties, summaries, and table, card, or list views. Use for Obsidian Bases, database-like vault views, dynamic tables, reading lists, task trackers, filters, formulas, summaries, and .base file edits.
wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…
loop-engineering
Use when a repeatable task must become a bounded Trigger -> Execute -> Verify -> State loop, scheduled automation, goal agent, or metric-driven research cycle.
anthropic-os
Use when a personal or team operating system needs a bounded redesign using Four-C, closed-loop controls, 70/30 allocation, 3B creativity, experiments, and prediction-error learning.