task-graph-reporting

Reporting and analytics tools for a task graph, a system that organizes work, dependencies, and agent ownership. They summarize project progress, activity, costs, and delivery speed.

In plain words
What is it for?
Use them to create status and progress reports, inspect task trees, review agent activity, and analyze project metrics, costs, and velocity.
Why use it?
They turn task and agent data into project overviews and trend information, making it easier to see blockers, available work, and changes over time.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/oortonaut/task-graph-mcp/task-graph-reporting
Any agent
npx skills add Oortonaut/task-graph-mcp --skill task-graph-reporting
Clone the repo
git clone --depth 1 https://github.com/Oortonaut/task-graph-mcp

Made for: Claude Code, Codex.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,002 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00029 $0.02002
Opus 5 $0.00015 $0.01001
Sonnet 5 $0.00006 $0.00400
Haiku 4.5 $0.00003 $0.00200

Measured 3d ago against content hash 43dd3fa1b6ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-graph-reporting 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.

config/skills/task-graph-reporting/SKILL.md · 384 lines

How it starts

The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Graph Reporting

Generate progress reports, analyze metrics, track costs and velocity across task-graph projects.

Prerequisite: Understand task-graph-basics for tool reference.


Quick Start

# Connect (reporting doesn't need special tags)
connect(name="reporter", tags=["reporting"])
→ agent_id

# Get project overview
list_tasks(format="markdown")

# Analyze specific task tree
get(task=root_task_id, children=true, format="markdown")

# Check agent activity
list_agents(format="markdown")

Report Types

1. Status Report

Quick overview of project state:

┌─────────────────────────────────────────┐
│ STATUS REPORT                           │
├─────────────────────────────────────────┤
│ Query: list_tasks(format="markdown")    │
│                                         │
│ Metrics to extract:                     │
│ • Total tasks by status                 │
│ • Blocked tasks and blockers            │
│ • Active agents and their tasks         │
│ • Ready tasks (available work)          │
└─────────────────────────────────────────┘

2. Progress Report

Track completion over time:

┌─────────────────────────────────────────┐
│ PROGRESS REPORT                         │
├─────────────────────────────────────────┤
│ Queries:                                │
│ • list_tasks(status="completed")        │
│ • list_tasks(status="working")      │
│ • list_tasks(status="pending")          │
│                                         │
│ Calculate:                              │
│ • Completion rate (completed/total)     │
│ • Points completed vs remaining         │
│ • Time actual vs estimated              │
└─────────────────────────────────────────┘

3. Cost Report

Analyze resource consumption:

┌─────────────────────────────────────────┐
│ COST REPORT                             │
├─────────────────────────────────────────┤
│ Query: get(task=root, children=true)    │
│                                         │
│ Aggregate across tasks:                 │
│ • tokens_in, tokens_out, tokens_cached  │
│ • tokens_thinking, tokens_image/audio   │
│ • cost_usd total and per-task           │
└─────────────────────────────────────────┘

Read the full file on GitHub · 384 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. 3d ago First seen · 384 lines · 29 tokens per session scan A 43dd3fa1b6ce

Subscribe to this mod's changes

task-graph-reporting is a skill published in the GitHub repository Oortonaut/task-graph-mcp (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 2,002 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 2026-08-31.

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