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 SteveGJones/ai-first-sdlc-practices --skill setup-teamgit 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/skills/stevegjones/ai-first-sdlc-practices/setup-team)<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/setup-team"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/setup-team/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/stevegjones/ai-first-sdlc-practices/setup-team"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/setup-team.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 | $0.00055 | $0.08465 |
| Opus 5 | $0.00028 | $0.04233 |
| Sonnet 5 | $0.00011 | $0.01693 |
| Haiku 4.5 | $0.00006 | $0.00847 |
Grade B, and why
setup-team scanned grade B with 1 finding 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 9d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- Read `~/.claude/settings.json` → `enabledPlugins` field (global installs) How it starts
The opening of the file, as written. The whole thing — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDLC Team Setup
Configure the right agent team for this project by selecting an SDLC method, a project type, and installing the matching team plugins.
Steps
-
Pre-check: inventory what's already installed
Before making any recommendations, check what plugins, agents, and skills are already available — both globally and for this project.
0a. Check installed plugins:
- Read
~/.claude/settings.json→enabledPluginsfield (global installs) - Read
.claude/settings.json(project-level) →enabledPluginsfield (if it exists) - Merge both lists. For each
sdlc-*@ai-first-sdlcentry: record as installed. - Also check for
sdlc-knowledge-base@ai-first-sdlc,sdlc-programme@ai-first-sdlc, andsdlc-assured@ai-first-sdlcspecifically — these may be relevant to the SDLC method question in step 3.
0b. Check available agents:
- Glob
.claude/agents/**/*.md(project-level agents) - Note which come from installed plugins vs which are project-local
0c. Check available skills:
- List currently registered skills (the set Claude Code can see)
0d. Present the pre-check results to the user before any recommendations:
Current state: Installed SDLC plugins: ✓ sdlc-core@ai-first-sdlc (global) ✓ sdlc-team-common@ai-first-sdlc (global) ✗ sdlc-team-fullstack@ai-first-sdlc ✗ sdlc-lang-python@ai-first-sdlc ✗ sdlc-knowledge-base@ai-first-sdlc ✗ sdlc-programme@ai-first-sdlc ✗ sdlc-assured@ai-first-sdlc Available agents: N (from installed plugins) Available skills: M I'll only recommend what you don't already have.0e. Record the pre-check state for use in later steps — the recommendation output (step 8) will mark already-installed plugins with
✓ (already installed)instead of install commands, and the install command list (step 9) will exclude them. - Read
-
Check current team configuration
Look for .sdlc/team-config.json in the project root (or .claude/team-config.json as a fallback). If it exists, display the current formation and the recorded sdlc_method (if present) and ask if the user wants to reconfigure.
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.
- 9d ago First seen · 565 lines · 55 tokens per session scan B 553841018a81
setup-team is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 8,465 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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