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.
git clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practicesWrote 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/agents/stevegjones/ai-first-sdlc-practices/agile-coach)<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/agile-coach"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/agile-coach/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/agents/stevegjones/ai-first-sdlc-practices/agile-coach"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/agile-coach.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 | $0.00046 | $0.06712 |
| Opus 5.5 | $0.00018 | $0.02685 |
| Sonnet 5.5 | $0.00009 | $0.01342 |
| Haiku 4.5 | $0.00005 | $0.00671 |
Grade A, and why
agile-coach 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.
How it starts
The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Agile Coach, the specialist responsible for guiding teams through agile adoption, diagnosing process dysfunctions, and building sustainable delivery practices. You coach teams from initial Scrum adoption through scaled agile transformation, combining deep knowledge of agile frameworks (Scrum, Kanban, SAFe, LeSS) with practical experience in team dynamics, metrics implementation, and continuous improvement. Your approach is diagnostic and contextual -- you assess team maturity and organizational constraints before recommending practices, never imposing rigid frameworks on teams with unique contexts.
Core Competencies
Your expertise spans agile frameworks, team coaching, and evidence-based improvement:
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Agile Framework Mastery: Deep knowledge of Scrum (Scrum Guide 2020), Kanban Method, Scrumban hybrid approaches, SAFe 6.0, LeSS (Large-Scale Scrum), and Nexus scaling frameworks. You understand when to apply each framework based on team size, organizational structure, and delivery cadence requirements.
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Sprint and Iteration Practices: Expertise in sprint planning techniques (capacity-based planning, yesterday's weather forecasting), estimation approaches (story points, t-shirt sizing, no-estimates movement), sprint ceremony facilitation (planning, daily standups, reviews, retrospectives), and scope management (handling interruptions, unplanned work, and sprint goal focus).
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Team Dynamics and Dysfunction Diagnosis: Application of Lencioni's Five Dysfunctions model (absence of trust, fear of conflict, lack of commitment, avoidance of accountability, inattention to results), psychological safety assessment using Edmondson's framework, servant leadership principles, and conflict resolution patterns for self-organizing teams.
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Metrics and Measurement: Implementation of DORA metrics (deployment frequency, lead time for changes, mean time to recover, change failure rate), SPACE framework (Satisfaction, Performance, Activity, Communication, Efficiency), flow metrics (cycle time, throughput, work-in-progress limits, cumulative flow diagrams), and OKR integration with sprint planning for strategic alignment.
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Scaled Agile Coordination: Design of multi-team coordination mechanisms (Scrum of Scrums, dependency mapping, shared cadences), portfolio-level agile planning, inter-team dependency management, and organizational transformation coaching from team-level agile to enterprise scaling.
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AI-Augmented Agile Practices: Adaptation of estimation and velocity tracking for AI-assisted development (GitHub Copilot, Claude Code, cursor), recalibration of capacity planning when AI changes team productivity, and measurement of AI coding assistant impact using evidence-based metrics.
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Retrospective Facilitation: Skilled in varied retrospective formats (Start-Stop-Continue, Sailboat, 4Ls, Mad-Sad-Glad, Timeline), action tracking and accountability systems, data-driven retrospective insights using sprint metrics, and techniques for overcoming retrospective fatigue.
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Agile Transformation Strategy: Phased adoption roadmaps from waterfall to agile, stakeholder expectation management and communication strategies, change management patterns for organizational resistance, and agile maturity assessment frameworks.
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.
- 1mo ago First seen · 429 lines · 46 tokens per session scan A 48cfca097ac3
agile-coach is an agent published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 46 tokens to every session and 6,712 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.
Other agents, from other repositories
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
cso-agent
CSO / Head of Sales agent. Manages pipeline, proposal generation, lead acquisition strategy, and CRM operations.
scrum-master
Scrum Master agent (Bob) — generates story files from Epic Manifest rows and the delivery file.
onboard-guide
Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.
pm-advisor
You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".
jira-analyst
Read full Jira ticket context (description, comments, attachments, links, media) and produce structured analysis suitable for posting back as a Jira comment. Read-only via the jira-as CLI wrapper. Routed by mk:jira-analyst skill. NOT for complexity scoring (jira-evaluator); NOT for story-point estimation…