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 djscheuf/agentic-dev-ecosystem-template --skill sdlc-plangit clone --depth 1 https://github.com/djscheuf/agentic-dev-ecosystem-templateWrote 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/djscheuf/agentic-dev-ecosystem-template/sdlc-plan)<a href="https://agentmods.dev/skills/djscheuf/agentic-dev-ecosystem-template/sdlc-plan"><img src="https://agentmods.dev/badge/skills/djscheuf/agentic-dev-ecosystem-template/sdlc-plan/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/djscheuf/agentic-dev-ecosystem-template/sdlc-plan"><img src="https://agentmods.dev/badge/skills/djscheuf/agentic-dev-ecosystem-template/sdlc-plan.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 | $0.00028 | $0.00240 |
| Opus 5.5 | $0.00011 | $0.00096 |
| Sonnet 5.5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
sdlc-plan 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.
What it actually says
SDLC Plan Workflow
Purpose
Plan a user story implementation from design, and split into workstreams based on dependencies.
Trigger
- Starting a new feature or bug fix
- Before writing any production code
- After Designing Approach with suitable architecture and design patterns
Inputs Required
- Design of the user story
- Relevant domain context
Workflow Steps
Step 1: Draft Implementation Plan
draft a high-level implementation plan based on the extracted story document using the draft-implementation-plan skill on the analysis file from the previous step.
Address any verification errors before proceeding.
Step 2: Break out Workstream Plans
break out the implementation plan into workstream plans using the split-plan-into-workstreams skill on the implementation plan file from the previous step.
Address any verification errors before proceeding.
Step 3: Grade Workstream Plans
Skip this step for now. // TODO: Add Qualitative Verification Step
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 · 35 lines · 28 tokens per session scan A 902923ccccff
sdlc-plan is a skill published in the GitHub repository djscheuf/agentic-dev-ecosystem-template (12 stars, last pushed 20d ago), licensed MIT. It adds 28 tokens to every session and 240 once invoked, about $0.0001 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 2026-08-30.
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