Borrowing it
Nothing to install: this file belongs to sagar-shirwalkar/collibra-atlas. 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/sagar-shirwalkar/collibra-atlas/main/.agents/skills/collibra-docs-nav/SKILL.mdgit clone --depth 1 https://github.com/sagar-shirwalkar/collibra-atlasWrote 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/sagar-shirwalkar/collibra-atlas/collibra-docs-nav)<a href="https://agentmods.dev/skills/sagar-shirwalkar/collibra-atlas/collibra-docs-nav"><img src="https://agentmods.dev/badge/skills/sagar-shirwalkar/collibra-atlas/collibra-docs-nav/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/sagar-shirwalkar/collibra-atlas/collibra-docs-nav"><img src="https://agentmods.dev/badge/skills/sagar-shirwalkar/collibra-atlas/collibra-docs-nav.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 | $0.00124 | $0.01568 |
| Opus 5 | $0.00062 | $0.00784 |
| Sonnet 5 | $0.00025 | $0.00314 |
| Haiku 4.5 | $0.00012 | $0.00157 |
Grade A, and why
collibra-docs-nav 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collibra's developer documentation is published as LLM-friendly markdown at https://developer.collibra.com/ with a single flat llms.txt index (673 pages, verified). Collibra has no section-level sub-indexes.
Platform: GitBook (Cloudflare-backed, serves raw markdown via .md suffix on URLs)
Key Conventions
| Aspect | Convention |
|---|---|
| Base URL | https://developer.collibra.com |
| Index | /llms.txt (single flat file, all pages) |
| Page URL | /{path}.md (all entries in llms.txt use .md suffix) |
| Internal links | Some use slug format /pages/{slug} (not in llms.txt, only within page content) |
| Markdown | GitBook-flavored: {% tabs %}, {% columns %}, {% hint %}, {% stepper %}, <mark>, raw HTML |
| Frontmatter | None on live site — the crawler injects synthetic frontmatter with title, product_area, last_updated, canonical_url |
| Content type | text/markdown; charset=utf-8 |
Sections in llms.txt
| Section | Entry point | Pages | Description |
|---|---|---|---|
| APIs | /api/api.md |
414 | REST, GraphQL, SCIM, Import, Output Module, Knowledge Graph |
| Workflows | /workflows/workflows.md |
219 | BPMN processes, Workflow Designer, forms, delegates, script tasks |
| CLI | /cli/cli.md |
1 | Collibra CLI |
| Tutorials | (under APIs/Workflows) | 38 | How-tos, worked examples |
Branches
explore-structure
Map the full doc index. Fetches root llms.txt, parses all entries, outputs section counts and URL patterns.
find-pages
Given a topic (e.g., "Import API", "Knowledge Graph"), search the flat llms.txt and return matching page URLs.
plan-atlas-build
Generate config for atlas-creation: LLMSTXT_URL, BASE_URL, CHUNKING_STRATEGY (H2-boundary, GitBook-cleaned), BUNDLE_OUTPUT.
fetch-content
Retrieve a page's markdown content via the .md suffix URL.
clean-gitbook
Strip GitBook syntax. Both collibra_docs_nav/crawler.py (at crawl time) and atlas/chunk.py (safety net) handle these patterns:
{% tabs %}/{% tab %}— flatten sequentially{% columns %}/{% column %}— concatenate{% hint %}(with optionalicon=attr) — convert to blockquotes{% stepper %}/{% step %}— flatten steps sequentially{% code title="..." %}/{% endcode %}— strip wrapper and orphaned closers, keep fenced code{% content-ref %}— standard links<mark style="...">— strip tags, keep text<code>,<kbd>,<pre>— convert to backticks or strip<ul>/<ol>/<li>— convert to markdown lists<b>/<strong>— convert to**<details>/<summary>— strip tags, keep content visible<table>— convert to markdown tables where possible<i class="fa-*">,:icon-*:,:fa-*:— strip- Page header boilerplate — strip the "For the complete documentation index..." preamble
What ships with it
6 files 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.
- 11d ago First seen · 114 lines · 124 tokens per session scan A 27d24fb549a7
collibra-docs-nav is a skill published in the GitHub repository sagar-shirwalkar/collibra-atlas (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 124 tokens to every session and 1,568 once invoked, about $0.0006 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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