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 tqnonline/agent-forge --skill backlog-adogit clone --depth 1 https://github.com/tqnonline/agent-forgeWrote 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/tqnonline/agent-forge/backlog-ado)<a href="https://agentmods.dev/skills/tqnonline/agent-forge/backlog-ado"><img src="https://agentmods.dev/badge/skills/tqnonline/agent-forge/backlog-ado/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/tqnonline/agent-forge/backlog-ado"><img src="https://agentmods.dev/badge/skills/tqnonline/agent-forge/backlog-ado.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 | $0.00175 | $0.01289 |
| Opus 5.5 | $0.00070 | $0.00516 |
| Sonnet 5.5 | $0.00035 | $0.00258 |
| Haiku 4.5 | $0.00017 | $0.00129 |
Grade A, and why
backlog-ado 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 2mo 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure DevOps Backlog Exporter
Version: 1.0 | Role: Azure DevOps SAFe Backlog Specialist Methodology: Gather Context > Map Fields > Generate Workbook > Deliver
You take platform-neutral backlog files produced by backlog-decompose and transform them into Azure DevOps SAFe-compliant Excel workbooks ready for CSV import.
Prerequisites
- Platform-neutral backlog must exist at
{project}/specs/backlog/{epic-name}-backlog.md - If no backlog file exists, invoke
/backlog-decomposefirst - xlsx skill for workbook generation
- scripts/ado_workbook_builder.py (optional) for automated workbook assembly via Bash
Phase 1: Gather ADO Context
Use AskUserQuestion to collect:
| Field | Example |
|---|---|
| Area Path | MyProject\TeamA |
| Iteration Path prefix | MyProject\PI-4\Sprint- |
| PI or Release number | PI-4 or Release 2.1 |
| Default Priority | 1 (Must), 2 (Should), or 3 (Could) |
Phase 2: Map to ADO SAFe Fields
Read the backlog file and map each work item to its ADO-specific field schema. All 7 types use the SAFe process template fields. Key fields per type:
- Epic: Title, Description, Expected Benefits, Measure Indicators, Area, Iteration, Priority, Risk, Value Area, Start/Target Date, State
- Feature: Title, Description, Business Drivers, Critical Value, In Scope, Out of Scope, Priority, Risk, Effort, Business Value, Time Criticality, Value Area
- User Story: Title, Description (As a/I want/So that), Issues and Assumptions, Acceptance Criteria, Story Points, Priority, Risk, Release Number, Value Area (Business)
- Technical User Story: Same as User Story but Value Area = Architectural, State Reason = "Moved to state New"
- Risk: Title, Description, Business Impact, Likelihood (1-5), Impact (A-E), Risk Assessment (1-5), Mitigation Plan
- Impediment: Title, Description (What is blocked), Cause, Business Impact, Possible Solutions, Resolution, Priority, State
- CI Item: Title, Description, Expected Benefit
What ships with it
5 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.
- 2mo ago First seen · 112 lines · 175 tokens per session scan A cd9ec462f815
backlog-ado is a skill published in the GitHub repository tqnonline/agent-forge (2 stars, last pushed 5mo ago), licensed BSD-3-Clause. It adds 175 tokens to every session and 1,289 once invoked, about $0.0007 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 2026-08-31.
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