Borrowing it
Nothing to install: this file belongs to SteveGJones/ai-first-sdlc-practices. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SteveGJones/ai-first-sdlc-practices/main/CLAUDE.mdgit 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/instructions/stevegjones/ai-first-sdlc-practices/claude-md)<a href="https://agentmods.dev/instructions/stevegjones/ai-first-sdlc-practices/claude-md"><img src="https://agentmods.dev/badge/instructions/stevegjones/ai-first-sdlc-practices/claude-md/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/instructions/stevegjones/ai-first-sdlc-practices/claude-md"><img src="https://agentmods.dev/badge/instructions/stevegjones/ai-first-sdlc-practices/claude-md.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 | $0.03037 | $0.03037 |
| Opus 5 | $0.01519 | $0.01519 |
| Sonnet 5 | $0.00607 | $0.00607 |
| Haiku 4.5 | $0.00304 | $0.00304 |
Grade A, and why
ai-first-sdlc-practices CLAUDE.md 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 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.
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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — AI Development Instructions
AI-First SDLC Practices framework for AI development (v1.8.0). Rules: CONSTITUTION.md. Full instructions: CLAUDE-CORE.md.
Active Work
Nothing is currently in flight. The items below are open but unstarted or partially landed — verify state before assuming.
- EPIC #197 — sdlc-knowledge-base v0.3.0 operator experience + scale. Phases A and B are on
main(PR #198 merged;kb-layers,kb-stats,kb-prepare-batch,kb-ingest-batchall present). Phase C is what remains: #163 confidence metadata, #165 lint auto-fix. Spec:docs/superpowers/specs/2026-05-03-kb-v030-phase-b-design.md. Note the old branchfeature/kb-v030-operator-experiencestill exists on the remote — check whether it is stale before reusing it rather than branching frommain. - EPIC #97 — Multi-Option Commissioned SDLC. Sub-features for Single-team (#99) / Solo (#100) bundles still pending. Migration skill (#101) and docs (#102) also pending.
Recently completed — context, not work
- #237 — poker-capstone /
sdlc-model-councilassessment. CLOSED and merged (PR #238798447d, research note PR #239323732f). Shipped the P1-P10 capability ladder, a local-model agentic harness, and an assessment-first reframing of the plugin. Outcome: the local-model seat is closed — both auditioned 4-bit models fail P1, the easiest phase. Two things to carry forward:research/poker-capstone/runs/andbroken-variants/are exempted from four validators (flake8, CodeQL, technical-debt, logging). That is deliberate: they hold verbatim model output, some defective on purpose as a recorded result, and must stay byte-identical to be re-verifiable. Do not "fix" lint findings in there. Two of those validators auto-detect framework-vs-application context by file ratio, so a large new corpus can silently flip the whole repo onto strict rules.- Open follow-ups are listed in memory
poker-capstone-p11-status— the main integration gap is folding ladder results into the roster card format (plugins/sdlc-model-council/scripts/council/roster.py).
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 · 160 lines · 3,037 tokens per session scan A 2b9349ad2b62
ai-first-sdlc-practices CLAUDE.md is an instructions file published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 3,037 tokens to every session, about $0.0152 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 2026-08-30.
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