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 agentmods add skills/infraspecdev/tesseract/plan-analysisnpx skills add infraspecdev/tesseract --skill plan-analysisgit clone --depth 1 https://github.com/infraspecdev/tesseractWrote 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/infraspecdev/tesseract/plan-analysis)<a href="https://agentmods.dev/skills/infraspecdev/tesseract/plan-analysis"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/plan-analysis.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00849 |
| Opus 5 | $0.00020 | $0.00425 |
| Sonnet 5 | $0.00008 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
terraform-plan-analyzer 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 2d 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.
This is a copy
100% identical to terraform-plan-analyzer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terraform Plan Analyzer
Overview
Analyzes terraform plan -json output to surface security-sensitive changes, cost-impacting resources, destructive actions, and drift before terraform apply. Complements static code review by showing what will actually change.
Core principle: Review the plan, not just the code. Static analysis catches bad patterns; plan analysis catches bad outcomes.
When to Use
- Before running
terraform applyon any environment - After modifying Terraform code, to preview impact
- When reviewing CI/CD plan output from a pull request
- To validate that a code change produces the expected resource changes
- After importing or moving resources, to verify no unintended drift
When NOT to Use
- For static Terraform code review without a plan (use a linter or code review instead)
- When
terraform inithas not been run and no plan JSON is available - For non-Terraform IaC tools (CloudFormation, Pulumi, CDK)
- To actually apply changes (this skill is strictly read-only)
Workflow
Detect Plan Source -> Parse Plan JSON -> Analyze Changes -> Write Report -> Present Summary
Plan source priority: user-provided JSON > existing .tfplan file (convert via terraform show -json) > generate via terraform plan -json -lock=false (requires .terraform/). If none available, prompt user to run terraform init or provide CI output.
Critical Rules
- NEVER run
terraform apply— This skill is read-only. Onlyplanandshowcommands. - Use
-lock=false— Don't acquire state lock for analysis. - ALWAYS write report — Even if no changes detected, document that fact.
- Flag destructive actions prominently — Destroy/replace on stateful resources gets top billing.
- Ask before generating plan — If no plan JSON is provided, confirm with user before running
terraform plan.
Steps
1. Detect Plan Source
Locate plan data using the priority from the Workflow section above. Ask user before generating a new plan.
What ships with it
2 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.
- 2d ago First seen · 75 lines · 41 tokens per session scan A 4be856fe38fe
terraform-plan-analyzer is a skill published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 849 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to terraform-plan-analyzer, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…