OpenHive is a runtime for groups of specialized AI agents that collaborate on long-running business processes. A persistent lead agent, called the Queen, creates and coordinates worker agents while the system manages state, recovery, observability, costs, and human oversight. The catalogue entries provide agent skills, instructions, and integrations for working with this harness.
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 aden-hive/hive --skill browser-edge-casesgit clone --depth 1 https://github.com/aden-hive/hiveWrote 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/aden-hive/hive/browser-edge-cases)<a href="https://agentmods.dev/skills/aden-hive/hive/browser-edge-cases"><img src="https://agentmods.dev/badge/skills/aden-hive/hive/browser-edge-cases/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/aden-hive/hive/browser-edge-cases"><img src="https://agentmods.dev/badge/skills/aden-hive/hive/browser-edge-cases.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.01655 |
| Opus 5.5 | $0.00016 | $0.00662 |
| Sonnet 5.5 | $0.00008 | $0.00331 |
| Haiku 4.5 | $0.00004 | $0.00166 |
Grade A, and why
browser-edge-cases 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 1mo 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser Tool Edge Cases
Standard Operating Procedure for debugging and fixing browser automation failures on complex websites.
When to Use This Skill
browser_interact(action="scroll")succeeds but page doesn't movebrowser_interact(action="left_click")succeeds but no action triggeredbrowser_interact(action="type")text disappears or doesn't workbrowser_snapshothangs or returns stale contentbrowser_navigateloads wrong content
SOP: Debugging Browser Tool Failures
Phase 1: Reproduce & Isolate
1. Create minimal test case demonstrating failure
2. Test against simple site (example.com) to verify tool works
3. Test against problematic site to confirm issue
Quick isolation test:
# Test 1: Does the tool work at all?
await browser_navigate(tab_id, "https://example.com")
result = await browser_interact(action="scroll", tab_id=tab_id, scroll_direction="down", scroll_amount=100)
# Should work on simple sites
# Test 2: Does it fail on the problematic site?
await browser_navigate(tab_id, "https://linkedin.com/feed")
result = await browser_interact(action="scroll", tab_id=tab_id, scroll_direction="down", scroll_amount=100)
# If this fails but example.com works → site-specific edge case
Phase 2: Analyze Root Cause
Step 2a: Check console for errors
console = await browser_console(tab_id)
# Look for: CSP violations, React errors, JavaScript exceptions
Step 2b: Inspect DOM structure
html = await browser_html(tab_id)
snapshot = await browser_snapshot(tab_id)
# Look for:
# - Nested scrollable divs (overflow: scroll/auto)
# - Shadow DOM roots
# - iframes
# - Custom widgets
Step 2c: Identify the pattern
| Symptom | Likely Cause | Check |
|---|---|---|
| Scroll doesn't move | Nested scroll container | Look for overflow: scroll divs |
| Click no effect | Element covered | Check getBoundingClientRect vs viewport |
| Type clears | Autocomplete/React | Check for event listeners on input; try a type action with no selector |
| Snapshot hangs | Huge DOM | Check node count in snapshot |
| Snapshot stale | SPA hydration | Wait after navigation |
What ships with it
11 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.
- registry.md 10 KB
- scripts/test_02_twitter_scroll.py 3.5 KB runs code
- scripts/test_03_modal_scroll.py 3.0 KB runs code
- scripts/test_04_element_covered.py 4.0 KB runs code
- scripts/test_06_shadow_dom.py 5.0 KB runs code
- scripts/test_07_contenteditable.py 6.4 KB runs code
- scripts/test_08_autocomplete.py 9.1 KB runs code
- scripts/test_10_huge_dom.py 5.4 KB runs code
- scripts/test_13_spa_navigation.py 6.5 KB runs code
- scripts/test_15_screenshot.py 8.6 KB runs code
- scripts/test_case.py 12 KB runs code
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.
- 1mo ago First seen · 242 lines · 40 tokens per session scan A 1171699962a0
browser-edge-cases is a skill published in the GitHub repository aden-hive/hive (11,110 stars, last pushed 3d ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,655 once invoked, about $0.0002 per session on Opus 5.5. 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.
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