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 req-addgit 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/req-add)<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/req-add"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/req-add/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/req-add"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/req-add.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 | $0.00028 | $0.00374 |
| Opus 5 | $0.00014 | $0.00187 |
| Sonnet 5 | $0.00006 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
req-add 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.
What it actually says
Skill: req-add
Use this skill when adding a new requirement to an existing requirements-spec under the Assured bundle. Computes the next sequential ID for the feature and module, prompts for the requirement text, and appends a properly-formatted ### REQ-... section.
Inputs
<feature-id>(or<module-id>for positional projects): which spec to append to- The requirement text (single declarative sentence)
Steps
-
Locate the requirements-spec. Read
docs/specs/<feature-id>/requirements-spec.md. If the project uses positional decomposition, read the spec for the matching module. -
Compute the next REQ number. Scan existing
### REQ-...headings. New ID is the max + 1, zero-padded to 3 digits. -
Prompt for the requirement text. Ask: "Single declarative sentence describing the new requirement?"
-
Append the section.
### REQ-<feature-id>-<NNN> <text> **Module:** <module-id> -
Confirm. Show the diff to the user before saving.
-
Save. Write the file.
-
Remind. "Next steps: add a corresponding DES in design-spec.md (use
req-link), then a TEST in test-spec.md."
Done criteria
- New REQ section appended with correct ID, no renumbering of existing IDs.
- Module assignment present.
- File saved; no other changes.
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 · 45 lines · 28 tokens per session scan A f38c8b2a171b
req-add is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 374 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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