sr:generate

sr:generate is a skill for Claude Code from huuanh20/awesome-ai-agent-skills. It costs 52 tokens per session (1,296 once invoked), scanned A, original, MIT.

A workflow step that turns an approved project plan into a complete Software Requirements Specification (SRS), a detailed document describing what software must do. It follows the IEEE 830 requirements-document format and stores each section in its own file.

In plain words
What is it for?
Use it after planning a project to validate the plan and generate the full SRS files for development, review, or publication.
Why use it?
It prevents incomplete or inconsistent requirements documents from being generated when the underlying plan is missing details or has errors.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python .claude/scripts/plan_validator.py --dir projects/{slug}/plan/.

Good fit Use it after planning a project to validate the plan and generate the full SRS files for development, review, or publication.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skills
agentmods
npx agentmods add skills/huuanh20/awesome-ai-agent-skills/sr-generate

Made for: Claude Code.

Wrote 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.

agentmods badge for sr:generate

README.md
[![agentmods](https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/sr-generate/github.svg)](https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/sr-generate)
Your own site
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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.

agentmods 80×15 button for sr:generate

Your own site · 80×15
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/sr-generate"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/sr-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,296 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01296
Opus 5 $0.00026 $0.00648
Sonnet 5 $0.00010 $0.00259
Haiku 4.5 $0.00005 $0.00130

Measured 12d ago against content hash b517a55777b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sr:generate 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 12d 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.

.agents/skills/sr-generate/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sr:generate

Goal: produce a complete, publication-ready IEEE 830 SRS. No word limit. Each section file must be fully written — no placeholders, no summaries, no "see plan for details."


Step 0 — Identify Project & Gate

AskUserQuestion: "Which project to generate SRS for? (slug)"

Read all files in projects/{slug}/plan/. If plan files don't exist or are incomplete: tell user to run /sr:plan first.

Run the readiness gate before writing anything:

python .claude/scripts/plan_validator.py --dir projects/{slug}/plan/
  • BLOCKED (ERRORs found, e.g. missing file, FR numbering gap, missing "shall" clause, bad priority tag): stop here. List the ERRORs and tell the user to fix them via /sr:plan before retrying /sr:generate.
  • READY WITH WARNINGS (e.g. unresolved [NEEDS USER INPUT] not yet logged in appendix-b-open-issues.md): show the warnings and ask the user to confirm proceeding anyway, or go back to /sr:plan to resolve them.
  • READY: proceed to Step 1.

Load .claude/skills/srs-generator/references/srs-template.md.


Step 1 — Generate Section Files

Create files under projects/{slug}/srs/. Write each file completely before moving to the next. Follow srs-template.md formatting for each section.

File order:

srs/
  01-introduction.md
  02-overall-description.md
  03-01-external-interfaces.md
  03-02-functional-requirements.md
  03-03-performance.md
  03-04-database.md
  03-05-design-constraints.md
  03-06-system-attributes.md
  03-07-other-requirements.md
  appendix-a-glossary.md
  appendix-b-open-issues.md

FR Format (mandatory for every FR in 03-02)

#### FR-NN [Essential|Conditional|Optional]

**Requirement:** The system shall {precise verb} {object} when {condition}.

| Field | Value |
|-------|-------|
| Actor | {who triggers this} |
| Precondition | {system state before} |
| Trigger | {what causes it} |
| Source | {brainstorm round / business rule / regulatory} |

**Acceptance Criteria (GWT):**
- **Given** {system state}
- **When** {actor action or event}
- **Then** {expected system response — measurable}
- **And** {additional assertions if needed}

Read the full file on GitHub · 169 lines

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.

  1. 12d ago First seen · 169 lines · 52 tokens per session scan A b517a55777b9

Subscribe to this mod's changes

sr:generate is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 1,296 once invoked, about $0.0003 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 2026-08-31.

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