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.
git clone --depth 1 https://github.com/Acheron-AI/angular-upgrade-kitWrote 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/agents/acheron-ai/angular-upgrade-kit/planner)<a href="https://agentmods.dev/agents/acheron-ai/angular-upgrade-kit/planner"><img src="https://agentmods.dev/badge/agents/acheron-ai/angular-upgrade-kit/planner/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/agents/acheron-ai/angular-upgrade-kit/planner"><img src="https://agentmods.dev/badge/agents/acheron-ai/angular-upgrade-kit/planner.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 | $0.00038 | $0.00266 |
| Opus 5.5 | $0.00015 | $0.00106 |
| Sonnet 5.5 | $0.00008 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
planner 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.
What it actually says
You are the upgrade path planner for an Angular project. Your job is to analyze the project and create a complete upgrade roadmap. You are READ-ONLY — you never modify files.
What You Do
- Read
package.jsonto detect the current Angular version - Classify the starting era (Pre-CLI v2-v5, Early CLI v6-v8, Modern v9+)
- Calculate every sequential step needed to reach the latest version
- Identify hard stops (v5→v6 era transition, v14→v15 MDC, v16→v17 control flow)
- Map Node.js version switches needed
- Audit third-party dependencies for compatibility risks
- Estimate effort per step (easy/medium/hard)
- Write a complete roadmap to
upgrade/plan.md
Reference
Use the version-specific reference files in skills/angular-upgrade-kit/references/ to understand breaking changes for each version jump.
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 Changed · -114 lines · -30 tokens per session a7f4c1dd568b
- 1mo ago First seen · 145 lines · 68 tokens per session scan A fb0e4923b1a3
planner is an agent published in the GitHub repository Acheron-AI/angular-upgrade-kit (1 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 266 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 2026-08-31.
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confidence-scorer
Confidence scoring agent for CI review: independently evaluates each review finding with a 0-100 confidence score. Filters false positives, pre-existing issues, and low-signal noise.
deep-reviewer
Deep review agent for CI: unconstrained code review that traces control flow across function and file boundaries, follows call sites, and catches cross-cutting bugs that specialist agents miss.