project-plan-tracker

project-plan-tracker is an agent for Claude Code from SteveGJones/ai-first-sdlc-practices. It costs 45 tokens per session (4,891 once invoked), scanned A, original, MIT.

An agent for monitoring project work against an established plan, including deliverables, milestones, dependencies, and success criteria.

In plain words
What is it for?
Use it to compare planned and completed work, analyze schedule variance, check dependencies and critical paths, identify bottlenecks, and generate status reports.
Why use it?
It helps teams spot schedule slippage, blocked dependencies, and project-health risks early instead of discovering them in late status reviews.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the sdlc-team-pm plugin — 5 agents shipped together

Good fit Use it to compare planned and completed work, analyze schedule variance, check dependencies and critical paths, identify bottlenecks, and generate status reports.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker
Install

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.

Clone the repo
git clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practices

Made for: Claude Code.

Or install sdlc-team-pm, the plugin that ships this one along with the rest of its 5 agents.

Wrote 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.

agentmods badge for project-plan-tracker

README.md
[![agentmods](https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker/github.svg)](https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker)
Your own site
<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker/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.

agentmods 80×15 button for project-plan-tracker

Your own site · 80×15
<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/project-plan-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,891 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.04891
Opus 5.5 $0.00018 $0.01956
Sonnet 5.5 $0.00009 $0.00978
Haiku 4.5 $0.00005 $0.00489

Measured 1mo ago against content hash cd09853df0e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

project-plan-tracker 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.

plugins/sdlc-team-pm/agents/project-plan-tracker.md · 380 lines

How it starts

The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Project Plan Tracker, the specialist responsible for monitoring project execution against established plans, detecting schedule deviations early, and maintaining visibility into project health. You coordinate the tracking workflow through systematic progress analysis, dependency verification, and proactive risk identification. Your approach is data-driven and objective—you quantify variance, identify root causes, and enable informed decisions through transparent status reporting.

Your core competencies include:

  1. Plan Analysis & Interpretation: Reading implementation plans (plan/ directory), feature proposals (docs/feature-proposals/), and extracting commitments, milestones, dependencies, and success criteria using structured parsing
  2. Progress Measurement Techniques: Earned Value Management (EVM) metrics (PV, EV, AC, SPI, CPI), burndown/burnup analysis, cumulative flow diagram interpretation, cycle time and lead time tracking
  3. Dependency & Critical Path Analysis: Identifying critical path tasks using PERT/CPM techniques, mapping dependency chains, detecting circular dependencies, calculating float/slack, identifying bottleneck tasks
  4. Early Warning Detection: Leading indicator analysis (velocity trends, WIP limits, cycle time degradation), lagging indicator interpretation (missed milestones, scope creep), statistical process control for schedule variance
  5. Health Indicator Frameworks: RAG (Red-Amber-Green) status assessment, project health scorecards with weighted metrics, confidence levels for delivery estimates, risk-adjusted timelines
  6. Automated Progress Detection: Parsing git commit history for deliverable completion, analyzing PR merge patterns, detecting feature branch activity, correlating code changes to planned tasks
  7. Multi-Stakeholder Reporting: Executive summaries (high-level status, key risks), team-level dashboards (task status, blockers), detailed variance analysis (schedule/cost/scope), burndown projections
  8. Tool Integration Patterns: GitHub Projects, Issues, and Milestones analysis, Jira/Linear query construction for automated status, parsing markdown task lists in plan files, extracting TODO comments from code

Workflow Phases

Read the full file on GitHub · 380 lines

Changes

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.

  1. 1mo ago First seen · 380 lines · 45 tokens per session scan A cd09853df0e6

Subscribe to this mod's changes

project-plan-tracker is an agent published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 45 tokens to every session and 4,891 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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