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 SienkLogic/plan-build-run --skill scangit clone --depth 1 https://github.com/SienkLogic/plan-build-runWrote 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/sienklogic/plan-build-run/scan)<a href="https://agentmods.dev/skills/sienklogic/plan-build-run/scan"><img src="https://agentmods.dev/badge/skills/sienklogic/plan-build-run/scan/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/sienklogic/plan-build-run/scan"><img src="https://agentmods.dev/badge/skills/sienklogic/plan-build-run/scan.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 | $0.00018 | $0.03097 |
| Opus 5 | $0.00009 | $0.01548 |
| Sonnet 5 | $0.00004 | $0.00619 |
| Haiku 4.5 | $0.00002 | $0.00310 |
Grade A, and why
scan 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 6d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STOP — DO NOT READ THIS FILE. You are already reading it. This prompt was injected into your context by Claude Code's plugin system. Using the Read tool on this SKILL.md file wastes ~7,600 tokens. Begin executing Step 1 immediately.
Step 0 — Immediate Output
Before ANY tool calls, display this banner:
╔══════════════════════════════════════════════════════════════╗
║ PLAN-BUILD-RUN ► SCANNING CODEBASE ║
╚══════════════════════════════════════════════════════════════╝
Then proceed to Step 1.
/pbr:map-codebase — Codebase Analysis
You are running the scan skill. Your job is to analyze an existing codebase and produce a comprehensive map of its structure, architecture, conventions, and concerns. This is the entry point for brownfield projects — codebases that already have code before Plan-Build-Run is introduced.
This skill spawns 4 parallel Task(subagent_type: "pbr:codebase-mapper") agents for analysis.
Context Budget
Reference: skills/shared/context-budget.md for the universal orchestrator rules.
Reference: skills/shared/agent-type-resolution.md for agent type fallback when spawning Task() subagents.
Additionally for this skill:
- Never analyze the codebase yourself — delegate ALL analysis to the 4 parallel codebase-mapper subagents
- Minimize reading mapper outputs — read only frontmatter or first 20 lines of each output document
- Delegate all file reading, pattern analysis, and architecture mapping to the codebase-mapper subagents
Core Principle
Understand before you change. Scanning a codebase is about building a mental model of what exists. Every file produced by this skill becomes context that the planner and executor use to make informed decisions. Accuracy matters more than speed.
Flow
Step 1: Load Init Context
Run the CLI to get scan metadata:
pbr-tools init map-codebase
Extract from init JSON: mapper_model, commit_docs, codebase_dir, existing_maps, has_maps, codebase_dir_exists, intel_enabled, has_intel_dir, depth_profile.
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.
- 6d ago First seen · 353 lines · 18 tokens per session scan A f1e6f3358afb
scan is a skill published in the GitHub repository SienkLogic/plan-build-run (17 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 3,097 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 2026-09-03.
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