ground-spec

ground-spec is a skill for Claude Code from drivestream-lab/prayog-skills. It costs 89 tokens per session (2,299 once invoked), scanned A, original, MIT.

A validation workflow that checks a completed development wave against the requirements assigned to it and the repository’s actual files and tests.

In plain words
What is it for?
Producing a Ground Report with requirement findings, cross-specification contract information, automated-check output when available, and readiness information for the next wave.
Why use it?
It catches missing or mismatched implementation details and records evidence before the next development wave begins.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions AGENTS.md.

Good fit Producing a Ground Report with requirement findings, cross-specification contract information, automated-check output when available, and readiness information for the next wave.

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Install with agentmods
npx agentmods add skills/drivestream-lab/prayog-skills/ground-spec
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 drivestream-lab/prayog-skills --skill ground-spec
Clone the repo
git clone --depth 1 https://github.com/drivestream-lab/prayog-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 ground-spec

README.md
[![agentmods](https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/ground-spec/github.svg)](https://agentmods.dev/skills/drivestream-lab/prayog-skills/ground-spec)
Your own site
<a href="https://agentmods.dev/skills/drivestream-lab/prayog-skills/ground-spec"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/ground-spec/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 ground-spec

Your own site · 80×15
<a href="https://agentmods.dev/skills/drivestream-lab/prayog-skills/ground-spec"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/ground-spec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,299 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 $0.00089 $0.02299
Opus 5 $0.00044 $0.01149
Sonnet 5 $0.00018 $0.00460
Haiku 4.5 $0.00009 $0.00230

Measured 11d ago against content hash bca3b4bd3724, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ground-spec 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 11d 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.

skills/development/ground-spec/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ground spec

Validate implementation against the product spec REQs assigned to this completed wave (plan / WorkManifest TASK implements lists) and actual repo artifacts — not every future REQ in the full product spec, and not PRD text alone. Produce a Ground Report that the next wave's /pre-implement consumes as a contract baseline.

Content skills write locally and emit Forge readiness; they do not commit, push, branch, open PRs, label, create issues, or merge.

Canonical artifact: {reports_dir}/Ground-Report-{SPEC}-W{N}.md (prayog-skills/references/artifact-write-contract.md). Checks: references/checks.md (G1–G10). Ids: prayog-skills/references/id-conventions.md (GF-* for findings).

NON-NEGOTIABLE

  1. Resolve paths from .harness/profile.yaml or references/layout-defaults.md. Include tests/** in scope when mapping evidence.
  2. Run the repo's automated ground check when {ground_command} is defined in the harness profile. Include full output in the report. If {ground_command} is not defined, perform manual REQ validation by reading source_roots and tests/** directly.
  3. Check every REQ-* assigned to this wave via plan / WorkManifest TASK rows — map each to a verifiable artifact (test result, entry point, module boundary, verify script output). Do not require coverage of REQs owned only by future waves. Use engineering terms: "entry point", "module boundary", "output shape" — not language-specific terms.
  4. Consume approved plan/manifest intent plus actual loop/unit evidence and human accept (Wave-Execution-*, unit results, wave-accepted / wave-acceptance). Optional/legacy Live-Verify-* is not required. Cite layers separately.
  5. Check cross-spec contracts: modules from this wave may only consume interfaces from prior waves as documented in those waves' Ground Reports.
  6. Check boundary rules per ADRs and domain-filtered MDC rules (G5/G6).
  7. Do not mark spec human_approved — already set at wave-acceptance (only approval signal). This skill prepares the merge package for wave-signoff (merge/publish only).
  8. Populate the Contracts Produced section — structured handoff for /pre-implement of the next wave. Without it, the chain is broken.
  9. Cite learning ids — when {reports_dir}/Learning-Extract-{initiative}-W{N}.md exists, add a Learning cited table of L-* ids (do not re-author learning SSOT).
  10. Discrepancy / blocker ids use stable GF-* — cite REQ-* in the row, not as the blocker primary key. Do not reuse feasibility FF-*.
  11. Write Ground Report and as-built updates locally; prepare the exact-head merge package for wave-signoff; pin routes to wave-done-action then wave-signoff (merge only). Never commit or merge from this skill. As-built writes follow the split in prayog-skills/references/artifact-write-contract.mdImplementation-Status-{INIT}.md for detail, one index row in implementation-status.md for the pointer; never append a new table to the shared index.
  12. If a codegraph provider is available (MCP tool matching prayog-skills/references/codegraph-tool-contract.md, or a local CLI), prefer it for cross-spec contract / boundary questions. Always fall back to direct source_roots reads when unavailable — never block or change outcome selection on its absence.

Read the full file on GitHub · 179 lines

Files

What ships with it

7 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. 11d ago First seen · 179 lines · 89 tokens per session scan A bca3b4bd3724

Subscribe to this mod's changes

ground-spec is a skill published in the GitHub repository drivestream-lab/prayog-skills (2 stars, last pushed 3d ago), licensed MIT. It adds 89 tokens to every session and 2,299 once invoked, about $0.0004 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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