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 skills add hmcts/agentic-plugins-marketplace --skill generate-bdd-specsgit clone --depth 1 https://github.com/hmcts/agentic-plugins-marketplaceWrote 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/hmcts/agentic-plugins-marketplace/generate-bdd-specs)<a href="https://agentmods.dev/skills/hmcts/agentic-plugins-marketplace/generate-bdd-specs"><img src="https://agentmods.dev/badge/skills/hmcts/agentic-plugins-marketplace/generate-bdd-specs/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.
<a href="https://agentmods.dev/skills/hmcts/agentic-plugins-marketplace/generate-bdd-specs"><img src="https://agentmods.dev/badge/skills/hmcts/agentic-plugins-marketplace/generate-bdd-specs.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00039 | $0.00611 |
| Opus 5 | $0.00019 | $0.00305 |
| Sonnet 5 | $0.00008 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
generate-bdd-specs 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate BDD Specs (Gherkin)
Purpose
Convert approved ACs into well-formed Cucumber/Gherkin feature files.
Format rules
- One feature file per story (
<PROJ-NNN>.featureor equivalent naming) Feature:block contains the user story statementBackground:for context shared by all scenarios in the fileScenario:for individual ACsScenario Outline:+Examples:for data-driven variations- Tags on each scenario:
@smoke,@regression,@accessibility,@negative
Language rules
- Gherkin steps must be in business language — no technical implementation detail
- Given = state setup (not "I click the login button")
- When = single action (not "I fill in the form and submit it")
- Then = observable outcome from the actor's perspective
- Avoid UI selectors, SQL, HTTP verbs, class names in Gherkin
Template
@regression
Feature: [Story title — PROJ-NNN]
As a [actor]
I want [goal]
So that [benefit]
Background:
Given the system is in [base state]
And [shared precondition]
@smoke
Scenario: [Happy path — AC-001]
Given [specific context]
When [actor performs action]
Then [expected outcome]
And [secondary outcome if needed]
@negative
Scenario: [Failure mode — AC-002]
Given [context]
When [action with invalid input]
Then [error is surfaced appropriately]
And [no state change occurred]
@accessibility
Scenario: [Accessibility — AC-00N]
Given [page/component is rendered]
When [axe-core scan is run]
Then [zero violations are reported at WCAG 2.1 AA level]
Scenario Outline: [Data-driven scenario]
Given [context with <variable>]
When [action with <input>]
Then [outcome is <expected>]
Examples:
| variable | input | expected |
| ... | ... | ... |
Tagging convention
| Tag | Meaning |
|---|---|
| @smoke | Run on every deploy — critical path only |
| @regression | Full regression suite |
| @negative | Error handling, invalid inputs, boundary failures |
| @accessibility | axe-core or manual WCAG check required |
| @contract | Cross-service contract test |
| @wip | In progress — excluded from CI until removed |
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.
- 9d ago First seen · 78 lines · 39 tokens per session scan A d2e809c911d2
generate-bdd-specs is a skill published in the GitHub repository hmcts/agentic-plugins-marketplace (3 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 611 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.
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