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 new-featuregit 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/new-feature)<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/new-feature"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/new-feature/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/new-feature"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/new-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00455 |
| Opus 5 | $0.00011 | $0.00228 |
| Sonnet 5 | $0.00004 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
new-feature 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 10d 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
New Feature Setup
Create a new feature with all required artifacts. Arguments:
$0— Feature number (e.g.,70)$1— Feature name for branch (e.g.,plugin-migration)$2+— Optional title (defaults to name with spaces)
Steps
-
Create the feature proposal at
docs/feature-proposals/$0-$1.md- Use the template from templates/proposal.md
- Replace placeholders:
FEATURE_NUMBER→$0FEATURE_NAME→$1FEATURE_TITLE→$2(or derive from$1by replacing hyphens with spaces)CREATED_DATE→ today's date (YYYY-MM-DD)
-
Create the retrospective at
retrospectives/$0-$1.md- Use the template from templates/retrospective.md
- Replace the same placeholders
-
Create the feature branch
git checkout main
git pull
git checkout -b feature/$1
- Run syntax validation
/sdlc-core:validate --syntax
If the validate skill is not available (e.g., first-time setup), run the inline fallback:
python -c "
import ast, pathlib
for f in pathlib.Path('.').rglob('*.py'):
if '.venv' in str(f): continue
ast.parse(f.read_text())
print('Syntax OK')
"
- Check for CI/CD (first feature only)
If .github/workflows/ does not exist or contains no workflow files:
No CI/CD workflow found. Run /sdlc-core:setup-ci to add GitHub Actions validation.
- Report the created files and branch name to the user.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 65 lines · 22 tokens per session scan A 7dfa41645c23
new-feature is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 455 once invoked, about $0.0001 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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github-sync
Bidirectional synchronization of epics and tasks with GitHub issues, labels, and relationships.
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Triage GitHub notifications and issue/PR queues.