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 armanzeroeight/fastagent-plugins --skill branch-strategy-advisorgit clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsWrote 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/armanzeroeight/fastagent-plugins/branch-strategy-advisor)<a href="https://agentmods.dev/skills/armanzeroeight/fastagent-plugins/branch-strategy-advisor"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/branch-strategy-advisor/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/armanzeroeight/fastagent-plugins/branch-strategy-advisor"><img src="https://agentmods.dev/badge/skills/armanzeroeight/fastagent-plugins/branch-strategy-advisor.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 | $0.00040 | $0.01905 |
| Opus 5.5 | $0.00016 | $0.00762 |
| Sonnet 5.5 | $0.00008 | $0.00381 |
| Haiku 4.5 | $0.00004 | $0.00191 |
Grade A, and why
branch-strategy-advisor 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 — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Branch Strategy Advisor
Recommend optimal branching strategies for your project.
Quick Start
Choose strategy based on team and deployment:
- Small team + continuous deployment → GitHub Flow
- Large team + scheduled releases → Gitflow
- Fast iteration + feature flags → Trunk-Based Development
Instructions
Step 1: Assess Project Context
Team Size:
- Small (1-5 developers)
- Medium (6-20 developers)
- Large (20+ developers)
Deployment Frequency:
- Continuous (multiple times per day)
- Daily
- Weekly
- Scheduled releases (monthly/quarterly)
Release Model:
- Single production version
- Multiple versions in production
- Long-term support versions
- Rolling releases
Technical Constraints:
- Feature flags available?
- Automated testing coverage?
- CI/CD pipeline maturity?
- Code review requirements?
Step 2: Select Branching Strategy
GitHub Flow - Best for:
- Small to medium teams
- Web applications
- Continuous deployment
- Simple workflow needed
Structure:
main (production)
├── feature/user-auth
├── feature/payment-integration
└── bugfix/login-error
Workflow:
- Create feature branch from main
- Make changes and commit
- Open pull request
- Review and test
- Merge to main
- Deploy automatically
Pros: Simple, fast, continuous deployment Cons: Requires good CI/CD, no release staging
Gitflow - Best for:
- Large teams
- Scheduled releases
- Multiple versions in production
- Need for hotfix support
Structure:
main (production)
develop (integration)
├── feature/new-dashboard
├── feature/api-v2
├── release/v2.0
└── hotfix/critical-bug
Workflow:
- Feature branches from develop
- Merge features to develop
- Create release branch from develop
- Test and fix in release branch
- Merge release to main and develop
- Tag release on main
- Hotfixes from main, merge to main and develop
Pros: Structured, supports multiple versions, clear release process Cons: Complex, slower, more overhead
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 · 332 lines · 40 tokens per session scan A 17be3c2d566d
branch-strategy-advisor is a skill published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 1,905 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 2026-09-03.
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