sr:save

sr:save is a skill for Claude Code from huuanh20/awesome-ai-agent-skills. It costs 36 tokens per session (1,182 once invoked), scanned A, original, MIT.

A workflow step that condenses a completed project's requirements and decisions into reusable context files. These files let a later work session understand the project without rereading the entire SRS.

In plain words
What is it for?
Use it after completing an SRS workflow to save the project's vision, features, constraints, and session notes for later work.
Why use it?
It reduces the effort needed to resume work and helps future sessions retain the project's scope, features, constraints, and quality information.

Skill for Claude Code

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

Good fit Use it after completing an SRS workflow to save the project's vision, features, constraints, and session notes for later work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huuanh20/awesome-ai-agent-skills/sr-save
Install

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.

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

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:save

README.md
[![agentmods](https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/sr-save/github.svg)](https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/sr-save)
Your own site
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/sr-save"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/sr-save/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.

agentmods 80×15 button for sr:save

Your own site · 80×15
<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/sr-save"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/sr-save.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,182 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 $0.00036 $0.01182
Opus 5 $0.00018 $0.00591
Sonnet 5 $0.00007 $0.00236
Haiku 4.5 $0.00004 $0.00118

Measured 12d ago against content hash f059d11cff7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sr:save 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-save/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sr:save

Goal: distil the entire project into compact, re-loadable context files. A future session should be able to load just _context/ and have full project understanding.


Step 0 — Identify Project

AskUserQuestion: "Which project to save context for? (slug)"

Read all available files in projects/{slug}/. Run python .claude/scripts/srs_validator.py --dir projects/{slug}/srs/ --stats and use its counts for quality_standards.md / session-notes.md below instead of recounting by hand.


Step 1 — Write Context Files

Write all files under projects/{slug}/_context/:

vision.md

# Vision — {Project Name}

## Problem Statement
{what problem does this system solve? 2–3 sentences from spec §1}

## Solution Summary
{what the system does, for whom, and the core value proposition}

## Success Metrics
{how we measure success — from spec §1 or brainstorm}

## Constraints
{top 3 hard constraints — tech, timeline, compliance}

features.md

# Features — {Project Name}

## IN Scope (v1.0)
| Feature | Priority | Key FRs | Notes |
|---------|----------|---------|-------|
{every confirmed in-scope feature, one row each}

## OUT of Scope (v1.0 — Deferred)
| Feature | Reason | Target version |
|---------|--------|---------------|
{every explicitly excluded feature}

tech_stack.md

# Tech Stack — {Project Name}

## Confirmed Stack
| Layer | Technology | Constraint type |
|-------|-----------|----------------|
{language, framework, DB, cloud, CI/CD — from spec §5}

## Integration Points
| System | Protocol | Direction | Auth |
|--------|----------|-----------|------|
{every external system — from SRS §3.1.3}

## Compliance Requirements
{applicable regulations + specific technical obligations}

glossary.md

# Glossary — {Project Name}

Copy of Appendix A from the SRS. Every term, acronym, abbreviation.
Include: domain terms | project-specific terms | role names | system names

Read the full file on GitHub · 168 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 · 168 lines · 36 tokens per session scan A f059d11cff7d

Subscribe to this mod's changes

sr:save is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,182 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 2026-08-31.

Related

Other skills, from other repositories

obsidian

Read, search, and create Markdown notes inside an Obsidian vault on disk.

AtomicBot-ai/Atomic-Chat · 20 tokens

paper-research

Do not use for general web literature reviews outside ArXiv, thesis coaching, homework tutoring, or long-term research memory management. Do not save a research log unless the user explicitly asks to save one.

Orkas-AI/Orkas-Awesome-AgentSkills · 3 tokens

personal-context

Interview the user to build or update a reusable "about me" context file for AI tools — who they are, their role and background, how they work, and how they want AI to help. Use when the user says "build my personal context", "create my about-me context", "set up my AI context", "update my personal context", or wants…

nocodework/ai-context-kit · 97 tokens

refresh-context

Review and refresh an existing personal-context.md or company-context.md — check what has gone stale, fill gaps against the current template, and update the file. Use when the user says "refresh my context", "review my context", "is my context still up to date", "my context is stale", or after a change in role, offer…

nocodework/ai-context-kit · 90 tokens

waky-waky

Context-restoration ritual for new sessions. Use when the user says "waky waky", "wake up the swarm", "reincarnate", "reincarnate the swarm", or "restore context". Loads the Constitution, identity, active handoffs, and per-WIP state so a fresh session picks up where the last one ended.

Exponential-OS/prompt-engineering-in-action · 76 tokens

context-engineering

Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.

ishandutta2007/Awesome-Agent-Skills · 43 tokens