super-simple-software-factory: Skill for Claude Code

.claude/skills/sssf/SKILL.md

sssf is a skill for Claude Code from disler/super-simple-software-factory. It costs 82 tokens per session (1,757 once invoked), scanned A, original, MIT.

A system for running repeatable workflows that combine coding agents with deterministic software steps. An ADW is an agent-driven workflow with defined phases, retries, and acceptance checks.

In plain words
What is it for?
Use it to install, create, run, or update these workflows, manage their agent roster, or observe running workflows.
Why use it?
It gives larger coding tasks a controlled sequence and passes typed information between phases, while recording workflow activity for observation.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is disler/super-simple-software-factory's own configuration. It tells Claude Code how to work on super-simple-software-factory itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything super-simple-software-factory configures →

Reuse

Borrowing it

Nothing to install: this file belongs to disler/super-simple-software-factory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/disler/super-simple-software-factory/main/.claude/skills/sssf/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/disler/super-simple-software-factory

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 sssf

README.md
[![agentmods](https://agentmods.dev/badge/skills/disler/super-simple-software-factory/sssf/github.svg)](https://agentmods.dev/skills/disler/super-simple-software-factory/sssf)
Your own site
<a href="https://agentmods.dev/skills/disler/super-simple-software-factory/sssf"><img src="https://agentmods.dev/badge/skills/disler/super-simple-software-factory/sssf/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 sssf

Your own site · 80×15
<a href="https://agentmods.dev/skills/disler/super-simple-software-factory/sssf"><img src="https://agentmods.dev/badge/skills/disler/super-simple-software-factory/sssf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,757 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00082 $0.01757
Opus 5.5 $0.00033 $0.00703
Sonnet 5.5 $0.00016 $0.00351
Haiku 4.5 $0.00008 $0.00176

Measured 2mo ago against content hash 2674bb79e9ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sssf 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 2mo ago.

The scan reads SKILL.md. This mod also ships 27 executable files (apps/visualizer/server/db.ts, apps/visualizer/server/index.ts, apps/visualizer/shared/types.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • sssf — 100% identical, 0 lines differ
.claude/skills/sssf/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Super Simple Software Factory (SSSF)

Reusable combination of agents plus code: deterministic Python ADW scripts own sequencing, retries, and acceptance; coding agents (Pi in v1) work inside bounded phases; typed JSON envelopes carry context between them; everything streams into SQLite for the polled visualizer. Agent proposes, code disposes.

Startup

Three steps. Then stop.

  1. Read cookbooks/sssf_overview.md — the system map.
  2. ls adws/adw_*.py and read each file's Phases: docstring line.
  3. Print the ADWs as a table — name, the chain, one line on when to reach for it — and wait for the engineer's request.
| ADW | Chain | Use when |
|---|---|---|
| adw_scout | engineer → scout | read-only recon; nothing changes |
| adw_simple_sdlc | plan → build → test → review → document, 3 commits | the work is real and its shape is not obvious |

Nothing else. No trace-db queries, no reading the config or the ADW scripts' bodies, no repo inventory, no last-runs summary, no diagnosing an old failure, no "current state" dashboard. None of it was asked for, and it is not free:

  • Volunteered state is guessed state. An orchestrator that improvised a status board queried a runs table and a payload column — neither exists (sessions, payload_json). The spec that would have said so is references/observability.md, one lazy read away. Probing to look prepared is how you end up confidently wrong in your first message.
  • It spends the context the real task needs, before you know what the task is.
  • It is stale on arrival. State printed before the request describes a system that the very next run changes.

Everything else — the db schema, the roster, the handoff contract — is lazy-loaded through the routing table below, when a request actually calls for it. Reading it early defeats the mechanism.

Two exceptions, both narrow: if the engineer's first message already contains a request, skip the waiting and route it; and if the factory is plainly not installed (no adws/, no config), say that in one line instead of the table.

Read the full file on GitHub · 77 lines

Files

What ships with it

60 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.

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. 2mo ago First seen · 77 lines · 82 tokens per session scan A 2674bb79e9ad

Subscribe to this mod's changes

sssf is a skill published in the GitHub repository disler/super-simple-software-factory (1,034 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 1,757 once invoked, about $0.0003 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.

Related

sssf compared with skills from other repositories

sssf next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
sssfdisler/super-simple-software-factorySkill1.0k3mo agoMITA82Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code