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 AIOSAI/AIPass --skill branch_healthgit clone --depth 1 https://github.com/AIOSAI/AIPassWrote 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/aiosai/aipass/branch_health)<a href="https://agentmods.dev/skills/aiosai/aipass/branch_health"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/branch_health/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/aiosai/aipass/branch_health"><img src="https://agentmods.dev/badge/skills/aiosai/aipass/branch_health.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 | $0.00017 | $0.00285 |
| Opus 5 | $0.00009 | $0.00143 |
| Sonnet 5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
branch_health 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.
What it actually says
Branch Health Skill
Quick health check for AIPass branches. Counts Python source files, test files, and test functions to give a snapshot of each branch's codebase and test coverage.
Available Actions
| Action | Description |
|---|---|
summary |
Full stats for all branches (default) |
tests |
Test-only stats (test files, test function counts) |
| branch | Stats for a single branch by name |
Usage
drone @skills run branch_health summary
drone @skills run branch_health tests
drone @skills run branch_health flow
Output Format
All actions return structured dicts:
{"success": True, "output": "...", "error": None}
Notes
- Scans
apps/for source files andtests/for test files - Counts
def test_lines as test functions - Missing directories are handled gracefully
- No external dependencies -- stdlib only
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.
- 11d ago First seen · 47 lines · 17 tokens per session scan A 1f25bf1457d3
branch_health is a skill published in the GitHub repository AIOSAI/AIPass (273 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 285 once invoked, about $0.0001 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
heartbeat
Lightweight system health monitoring skill.
pre-pr
Prepare a Honcho change for a pull request to plastic-labs/honcho. Invoke before opening a PR, when drafting a PR body, when asked if a branch is PR-ready, or when filling the pull request template. Checks the linked issue, required tests and docs, then writes Description / Proofs / Fixes.
public-artifact-runtime-smoke-gate
Verify Python packages, CLIs, MCP servers, and Agent plugins through the exact installed artifact and real runtime contract. Use when source tests pass but a published release may omit modules, expose broken entry points, depend on local paths, fail without optional credentials, or behave differently after public…
release-checker
Use before claiming tests pass, a build succeeds, a bug is fixed, requirements are met, or a release/PR is ready to ship. Demands fresh verification evidence instead of assumptions, confidence, or previous runs.
finishing-a-development-branch
The Finality Layer for CIEL orchestration. Guides the completion of an epic by enforcing global verification, presenting integration options, and handling Git cleanup.
system-info
Get system information including CPU usage, memory, disk space, battery status, and network info. Read-only and safe to use.