Borrowing it
Nothing to install: this file belongs to pangon/ai-sdlc-framework. 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/pangon/ai-sdlc-framework/main/.claude/skills/SDLC-design/SKILL.mdgit clone --depth 1 https://github.com/pangon/ai-sdlc-frameworkWrote 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/pangon/ai-sdlc-framework/sdlc-design)<a href="https://agentmods.dev/skills/pangon/ai-sdlc-framework/sdlc-design"><img src="https://agentmods.dev/badge/skills/pangon/ai-sdlc-framework/sdlc-design.svg" alt="Measured on agentmods" 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 | $0.03742 |
| Opus 5 | $0.00023 | $0.01871 |
| Sonnet 5 | $0.00009 | $0.00748 |
| Haiku 4.5 | $0.00005 | $0.00374 |
Grade A, and why
SDLC-design 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 7d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
You are working in the Design phase, creating or updating architecture, data model, or API design documents.
Phase Validation
Before doing anything else, read the **Phase**: field of the ### Current State subsection in CLAUDE.md. Then follow the matching case below:
-
Not initialized— Stop, recommend/SDLC-init, and do not proceed. -
Specification— design work would cross the Spec → Design phase gate. Recommend running/SDLC-validatefirst: gate evaluation trusts the assessment lines in Current State, and validation verifies their freshness against the actual git history. Then evaluate all three Spec → Design preconditions from the Phase Gates table inCLAUDE.md(using its "How to verify" column), and respond based on the results:- If any artifact precondition is not met (stakeholders defined, at least one requirement Approved) — elicitation is incomplete. Stop, list what is missing, recommend
/SDLC-elicit, and do not proceed. - If the artifact preconditions are met but the gap-analysis precondition is not (no gap analysis, stale, or open Critical issues) — strongly recommend running a gap analysis via
/SDLC-elicitbefore design. Proceed only if the user explicitly accepts the gaps. - If all preconditions are met — inform the user of any remaining Important/Minor gaps (non-blocking) and ask the user to confirm the advancement to the Design phase (phase gate advancement is an "always ask" action). Proceed with Setup only after confirmation.
In every proceed case, the
**Phase**:field is set toDesignwhen the first user-approved design change is applied (see Current State Tracking) — not at validation time. - If any artifact precondition is not met (stakeholders defined, at least one requirement Approved) — elicitation is incomplete. Stop, list what is missing, recommend
-
Design— proceed normally with the Setup steps below. -
Code— the project has advanced beyond Design. Warn that modifying Design artifacts may impact downstream tasks or deployed code. If the user confirms, proceed but flag downstream dependencies that could be affected.
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.
- 7d ago First seen · 219 lines · 46 tokens per session scan A 68142fbe8830
SDLC-design is a skill published in the GitHub repository pangon/ai-sdlc-framework (126 stars, last pushed 14d ago), licensed Apache-2.0. It adds 46 tokens to every session and 3,742 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 2026-08-30.
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