SATISFACTORY-CRITERIA

SATISFACTORY-CRITERIA is a cursor rule for Cursor from qwickapps/ai-sdlc-workflows. It costs 1,841 tokens per session, scanned A, original, MIT.

A checklist for deciding whether work is ready to mark complete or deliver. It requires specific, actionable, evidence-based, and sufficiently complete results.

In plain words
What is it for?
Use it to review research, code-related work, reports, and final deliverables against defined quality criteria.
Why use it?
It helps catch vague claims, missing evidence, incomplete investigation, and undocumented gaps before delivery.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/qwickapps/ai-sdlc-workflows/satisfactory-criteria
Clone the repo
git clone --depth 1 https://github.com/qwickapps/ai-sdlc-workflows

Made for: Cursor.

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 SATISFACTORY-CRITERIA

README.md
[![agentmods](https://agentmods.dev/badge/rules/qwickapps/ai-sdlc-workflows/satisfactory-criteria.svg)](https://agentmods.dev/rules/qwickapps/ai-sdlc-workflows/satisfactory-criteria)
Your own site
<a href="https://agentmods.dev/rules/qwickapps/ai-sdlc-workflows/satisfactory-criteria"><img src="https://agentmods.dev/badge/rules/qwickapps/ai-sdlc-workflows/satisfactory-criteria.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,841 This file is loaded in full into every session.
When invoked 1,841 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01841 $0.01841
Opus 5 $0.00920 $0.00920
Sonnet 5 $0.00368 $0.00368
Haiku 4.5 $0.00184 $0.00184

Measured 4d ago against content hash 8463ba26f52a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

SATISFACTORY-CRITERIA 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 4d 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.

cursor/.cursor/rules/SATISFACTORY-CRITERIA.mdc · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Satisfactory Criteria

When to apply: Before marking any task as complete or presenting final deliverables.


Core Principle

Work is satisfactory when it meets all quality criteria, not just when the task is done.

Completion ≠ Satisfaction. Satisfactory means:

  • Specific and actionable
  • Evidence-based
  • Sufficiently deep
  • Complete or gaps documented

Reference: See COMMON-PATTERNS.md for evidence requirements, confidence levels, and checklist usage.


Universal Satisfactory Criteria

ALL work must meet these five criteria:

1. Specificity

Work is specific when:

  • No vague statements ("may need", "possibly", "approximately")
  • Quantities are exact ("29 plugins" not "around 20-30")
  • Items individually identified, not grouped
  • Concrete examples with file:line references
  • Recommendations actionable, not theoretical

Check:

  • No hedging language without explanation
  • All quantities are exact counts
  • All items enumerated or documented why not
  • Examples are concrete with file:line refs

Example: ❌ "Several plugins may need attention. Approximately 20-30 items." ✅ "29 plugins installed (package.json:65-107). 2 critical risk: cordova-universal-links, safariviewcontroller."


2. Evidence-Based Claims

All claims must have:

  • Source (file:line, URL, command output)
  • Evidence (code quote, documentation quote, test result)
  • Verification method (how checked)
  • Version/date context when relevant

Check:

  • Every factual claim has a source
  • File references include line numbers
  • URLs complete and accessible
  • Verification method documented
  • No assumptions as facts

Reference: See COMMON-PATTERNS.md § Evidence Requirements for detailed standards and FACT-VERIFICATION.md for verification methods.


3. Actionability

Work is actionable when:

  • Clear next steps based on actual findings
  • Recommendations concrete (not "investigate more")
  • Decisions can be made from information
  • No placeholder recommendations

Read the full file on GitHub · 277 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. 4d ago First seen · 277 lines · 1,841 tokens per session scan A 8463ba26f52a

Subscribe to this mod's changes

SATISFACTORY-CRITERIA is a cursor rule published in the GitHub repository qwickapps/ai-sdlc-workflows (2 stars, last pushed 5mo ago), licensed MIT. It adds 1,841 tokens to every session, about $0.0092 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.