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 agentmods add skills/marcusgoll/spec-flow/staging-validation-phasenpx skills add marcusgoll/Spec-Flow --skill staging-validation-phasegit clone --depth 1 https://github.com/marcusgoll/Spec-FlowWrote 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/marcusgoll/spec-flow/staging-validation-phase)<a href="https://agentmods.dev/skills/marcusgoll/spec-flow/staging-validation-phase"><img src="https://agentmods.dev/badge/skills/marcusgoll/spec-flow/staging-validation-phase.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00056 | $0.05429 |
| Opus 5 | $0.00028 | $0.02714 |
| Sonnet 5 | $0.00011 | $0.01086 |
| Haiku 4.5 | $0.00006 | $0.00543 |
Grade A, and why
staging-validation-phase scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(baseURL); How it starts
The opening of the file, as written. The whole thing — 768 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill orchestrates the staging validation phase, which occurs after /ship-staging and before /ship-prod in the staging-prod deployment workflow.
Core responsibilities:
- Run automated smoke tests on staging environment
- Test critical user flows manually (authentication, core features, payments)
- Verify data migrations executed successfully
- Test rollback capability (actual rollback + roll-forward)
- Document sign-off decision (approve/reject with justification)
- Update state.yaml with validation results
Inputs: Staging deployment (URL, deployment ID, migration results) Outputs: Validation report, sign-off decision, state.yaml update Expected duration: 30-60 minutes
<quick_start> Execute staging validation in 5 steps:
-
Run smoke tests - Execute automated smoke test suite on staging URL
npm run test:smoke -- --url=$STAGING_URLVerify: homepage loads (200), API health endpoint (200), database connection
-
Test critical user flows - Manual testing of core functionality
- Authentication (login, logout, password reset)
- Primary user workflow (feature-specific)
- Payment processing (if applicable)
- Data CRUD operations
-
Verify data migrations - Check staging database for migration results
# Connect to staging database psql $STAGING_DATABASE_URL -c "SELECT version FROM alembic_version;" # Verify tables, columns, constraints match expectations -
Test rollback capability - Execute actual rollback test
# Rollback to previous deployment vercel rollback $PREVIOUS_DEPLOYMENT_ID # Verify previous version is live # Roll forward to current deployment vercel promote $CURRENT_DEPLOYMENT_ID -
Document sign-off - Update state.yaml
manual_gates: staging_validation: status: approved # or rejected approver: "Your Name" timestamp: "2025-11-19T10:30:00Z" blockers: [] # or list of issues if rejected
Key principle: Test as if this is production. All failures must be fixed before production deployment. </quick_start>
<knowledge_requirements> Required understanding before validation:
- Smoke tests: What automated tests exist, how to run them, what they verify
- Critical user flows: Which workflows are essential for production (auth, core feature, payments)
- Data migrations: What schema changes were made, how to verify them
- Rollback procedure: How to rollback deployment, how to verify previous version, how to roll forward
- Sign-off criteria: What constitutes approval vs rejection (all tests pass, no blocking bugs)
See deployment-strategy.md in project docs for platform-specific rollback procedures. </knowledge_requirements>
What ships with it
1 file 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.
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.
- 3d ago First seen · 768 lines · 56 tokens per session scan A 6bd3828e0b37
staging-validation-phase is a skill published in the GitHub repository marcusgoll/Spec-Flow (92 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 5,429 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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