Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/context4ai/workflownpx agentmods add skills/context4ai/workflow/make-prdWrote 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/context4ai/workflow/make-prd)<a href="https://agentmods.dev/skills/context4ai/workflow/make-prd"><img src="https://agentmods.dev/badge/skills/context4ai/workflow/make-prd/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/context4ai/workflow/make-prd"><img src="https://agentmods.dev/badge/skills/context4ai/workflow/make-prd.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 | $0.05025 |
| Opus 5.5 | $0.00016 | $0.02010 |
| Sonnet 5.5 | $0.00008 | $0.01005 |
| Haiku 4.5 | $0.00004 | $0.00502 |
Grade A, and why
make-prd 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 1mo 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.
- ❌ "curl API returns correct JSON" -- API call is not an interface behavior; describe what the user sees in the interface instead How it starts
The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/make-prd - Product Requirements Modeling (Product-Layer Graph)
Model requirement descriptions as a Product-layer Node / Edge / Fact knowledge graph.
Design Workspace (design-dir)
The default workspace for design documents is design/. When the Agent starts, check:
design/directory exists -> usedesign/as<design-dir>design/does not exist -> pause and ask the user for the design workspace path, explaining the accepted directory structure:<design-dir>/<version>/(prd|plan).md Examples: design/v1.0.1/prd.md, design/v0.5.0/plan.md
design/archive/: Archived or inactive design documents. Treat as low-priority reference when exploring existing graph structures -- prioritize reading active version directories, and only fall back to archive when relevant context cannot be found in active versions.
All subsequent paths using <design-dir> refer to this directory.
TL;DR -- Hard Rules (Above the Fold)
- Input: Requirement description + version number (required); architecture documents (optional)
- Output: Product Node tree + Edges + Facts, written to
<design-dir>/<version>/prd.md - Prohibited: Do not produce Package/Symbol (that belongs to Plan); do not write implementation code
- Product kind: domain / application / story (not feature -- Feature is an iteration delivery unit and does not enter the graph)
- story = long-lived knowledge asset: Describes who can do what and gain what value. Specs attach only to stories, not to domain/application
- spec must be end-to-end verifiable: Each spec must be verifiable through the product interface (Web UI preferred), not solely through API calls or running tests. CLI is an acceptable fallback when no UI exists. If interface-level verification is impossible -> it is a technical spec, leave it for Plan
- Technical element triage: When input contains technical proposals, extract only product-layer elements; leave technical constraints for
/make-plan - Minimum output: Each story Node >= 1
[description]+ >= 1[spec] - Fact numbering: All specs use
[S1][S2]... stable numbering, for Plan implements references - content <= 256 characters, detail is optionally inlined (
>block); if over 100 lines, link externally todetails/ - Non-goals =
[decision]Facts, attached to the relevant Node, with version constraints - Do not write
correspondsedges without code context -- better to omit than to guess - Fact changes: Modifying an existing Fact requires
[-kind]+[+kind]+supersedesassociation - PRD can be simple or even absent: When the input is primarily a technical proposal, the PRD may contain only a few stories; if no stories or product specs can be extracted at all, classify it as a pure technical upgrade -- do not produce a PRD, proceed directly to
/make-plan
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.
- 1mo ago First seen · 402 lines · 39 tokens per session scan A da008429dc7a
make-prd is a skill published in the GitHub repository context4ai/workflow (4 stars, last pushed 6mo ago), licensed MIT. It adds 39 tokens to every session and 5,025 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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