Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/SienkLogic/plan-build-runnpx agentmods add skills/sienklogic/plan-build-run/statusWrote 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/status)<a href="https://agentmods.dev/skills/sienklogic/plan-build-run/status"><img src="https://agentmods.dev/badge/skills/sienklogic/plan-build-run/status.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 | $0.00013 | $0.04373 |
| Opus 5 | $0.00006 | $0.02187 |
| Sonnet 5 | $0.00003 | $0.00875 |
| Haiku 4.5 | $0.00001 | $0.00437 |
Grade A, and why
status 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 3d 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 — 439 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 ► PROJECT STATUS ║
╚══════════════════════════════════════════════════════════════╝
Then proceed to Step 1.
/pbr:progress — Project Status Dashboard
You are running the status skill. Your job is to read the project state and present a clear, actionable status dashboard. You suggest the most logical next action based on where the project is.
This skill runs inline and is read-only — it never modifies any files.
References
references/questioning.md— Questioning philosophy (for routing intelligence)references/ui-brand.md— Status symbols, banners, progress display format
Core Principle
Show the user where they are and what to do next. The status display should be a quick glance, not a wall of text. Surface problems and route to the right action.
Flow
Step 1: Read Project State
CRITICAL — STOP. You MUST run these CLI commands FIRST. Do NOT skip them. Do NOT read files manually instead.
First, run the init command to capture routing, drift, and metadata:
node plugins/pbr/scripts/pbr-tools.js init status
Store the JSON result as blob. This provides:
blob.routing— suggestNext output withblob.routing.commandandblob.routing.reasonfor Step 5 smart routingblob.drift— STATE.md discrepancy warnings (blob.drift.drift_detected,blob.drift.stale_fields)blob.counts.pending_todos,blob.counts.notes,blob.counts.active_debug— directory scan countsblob.has_paused_work— whether .continue-here file existsblob.progress— progress bar data (percentage, completed_plans, total_plans)blob.state— STATE.md frontmatter fieldsblob.config.mode,blob.config.features,blob.config.workflow— config checks
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.
- 3d ago First seen · 439 lines · 13 tokens per session scan A 6f380ea27ed3
status is a skill published in the GitHub repository SienkLogic/plan-build-run (17 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 4,373 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.
Other skills, from other repositories
issue-triage
3-phase issue backlog management with audit, deep analysis, and validated triage actions. Use when triaging GitHub issues, sorting bug reports, cleaning up stale tickets, or detecting duplicate issues. Args: 'all' to analyze all, issue numbers to focus (e.g. '42 57'), 'en'/'fr' for language, no arg = audit only.
plan-pipeline
Orchestrates the complete planning pipeline: product direction (ceo-review) -> architecture (eng-review) -> implementation plan (start) -> validation (validate) -> execution (execute). Run stages individually or let the orchestrator coordinate the full flow.
routines-discover
Analyzes the current project to surface high-value Routines use cases across the three trigger types (schedule, API, GitHub events). Usage: /routines-discover.
gitlab-ops
Use this skill when performing VCS operations on GitLab or GitHub repositories — creating, updating, or closing issues and MRs, applying label taxonomy, running glab/gh CLI commands, or resolving project paths dynamically. Acts as the single source of truth for CLI command syntax and label conventions; consuming…
gitlab-portfolio
Use when you need a single-pane cross-repo health view across all vault-registered GitLab and GitHub projects. Discovers repos from overview.md frontmatter in /01-projects//, aggregates open issues, MRs, critical labels, and stale signals via parallel glab/gh calls, then writes an idempotent PORTFOLIO.md dashboard.…
plan
Use this skill when performing structured project planning and PRD generation with three modes: new (project kickoff with repo scaffolding), feature (compact feature PRD), retro (data-driven retrospective). All modes share a researched Q&A engine that dispatches parallel Explore agents before each question wave…