A diagnostic check for an AgentFlow software-development pipeline. It checks required command-line tools, files, service connections, installed plugins, agents, hooks, and communication between agents.

Use it to check tools such as Git, Node.js, npm, GitHub CLI, and Claude Code, along with Asana connectivity and AgentFlow configuration.

It shows which parts of the development setup are missing or unavailable and gives instructions for fixing reported problems.

sdlc-health — Skill for Claude Code by UrRhb

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.

Any agent

npx skills add UrRhb/agentflow --skill sdlc-health

Clone the repo

git clone --depth 1 https://github.com/UrRhb/agentflow

Made for: Claude Code.

Or install agentflow, the plugin that ships this one along with the rest of its 6 skills, 4 agents, 1 MCP server.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/urrhb/agentflow/sdlc-health.svg)](https://agentmods.dev/skills/urrhb/agentflow/sdlc-health)

Your own site

<a href="https://agentmods.dev/skills/urrhb/agentflow/sdlc-health"><img src="https://agentmods.dev/badge/skills/urrhb/agentflow/sdlc-health.svg" alt="Measured on agentmods" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,885 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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.01885
Opus 5	$0.00022	$0.00942
Sonnet 5	$0.00009	$0.00377
Haiku 4.5	$0.00004	$0.00188

Measured 8d ago against content hash fcd096b61f2c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

sdlc-health 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 8d 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.

plugin/skills/sdlc-health/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/sdlc-health

Run a comprehensive health check on the AgentFlow pipeline. Report status for every subsystem and provide actionable fix instructions for any issues found.

Execution

Run all checks below in order. Collect results, then print the summary at the end.

Checks

1. Prerequisites

Verify each of these exists and is functional:

Claude Code CLI -- run claude --version to confirm it is accessible
git -- run git --version
gh (GitHub CLI) -- run gh --version, then gh auth status to confirm authentication
Node.js -- run node --version
npm -- run npm --version
Conventions file -- check ~/.claude/sdlc/conventions.md exists
Skill files -- check ~/.claude/skills/ contains: spec-to-asana.md, sdlc-worker.md, sdlc-orchestrate.md, sdlc-stop.md, sdlc-health.md, sdlc-demo.md
Prompt files -- check ~/.claude/sdlc/prompts/ contains: decompose.md, research.md, build.md, review.md, test.md

For any missing file, report exactly which file is missing and suggest running ./setup.sh from the agentflow repo.

2. PM Tool Connectivity

Test the Asana MCP connection:

MCP responding -- call the Asana MCP get_me tool. If it responds with user info, the connection is live.
Can list projects -- call get_projects and confirm at least one project is returned
Can read tasks -- pick any project, call get_tasks for it
Can post comments -- do NOT actually post a comment; just confirm the add_comment tool is available in the MCP toolset

If MCP is not responding, report: "Asana MCP server not connected. Check your MCP configuration in Claude Code settings."

3. Pipeline Status

Search for projects with [SDLC] in the name. For each one found:

Count tasks per stage: Backlog, Research, Build, Review, Test, Integrate, Done, Needs Human
List active workers: which slots (T2-T5) have assigned tasks, and which tasks
Find the Status task (pinned task with [LAST_SWEEP:] in description)
- Extract the last sweep timestamp
- Calculate time since last sweep
- Classify: HEALTHY (<20 min), WARNING (20-60 min), CRITICAL (>60 min)
List any tasks in "Needs Human" (task name and code)
Report total estimated cost across all active tasks (sum [COST:~$N] values)
Check for active merge locks ([MERGE_LOCK:] in Status task)
Check for active sweep locks ([SWEEP:RUNNING] in Status task)

Read the full file on GitHub · 154 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.

8d ago First seen · 154 lines · 43 tokens per session scan A fcd096b61f2c

Subscribe to this mod's changes

sdlc-health is a skill published in the GitHub repository UrRhb/agentflow (4 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 1,885 once invoked, about $0.0002 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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