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/datit309/supergraph/prdnpx skills add datit309/supergraph --skill prdgit clone --depth 1 https://github.com/datit309/supergraphWhat 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 | $0.00051 | $0.00765 |
| Opus 5 | $0.00026 | $0.00382 |
| Sonnet 5 | $0.00010 | $0.00153 |
| Haiku 4.5 | $0.00005 | $0.00076 |
Grade A, and why
prd 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 yesterday.
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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/supergraph:prd
Turn conversation into a machine-readable PRD. Gives /supergraph:plan a concrete spec to work from.
Announce: "📋 /supergraph:prd — extracting requirements..."
Steps
1. Read CONTEXT.md (if exists)
head -60 CONTEXT.md 2>/dev/null || echo "No CONTEXT.md"
Use domain vocabulary from CONTEXT.md in the PRD — never invent new terms for existing concepts.
2. Extract requirements from conversation
Gather from current conversation context:
- What the user wants to accomplish
- Any constraints or non-goals mentioned
- Technical decisions already made
- Edge cases or concerns raised
Ask one clarifying question if a critical piece is missing. Do not ask multiple questions at once.
3. Write PRD
# PRD: [Feature/Fix Name]
## Problem
[One paragraph: what is broken or missing, and why it matters]
## Solution
[One paragraph: the approach — what will be built]
## User Stories
- As a [role], I want [action] so that [outcome]
- (2-5 stories max)
## Acceptance Criteria
- [ ] [Observable, testable condition]
- [ ] [Observable, testable condition]
- (Each maps to a test in /supergraph:plan)
## Implementation Decisions
- [Technology/pattern chosen and why]
- [What was explicitly ruled out and why]
## Testing Decisions
- [Unit: what gets unit tested]
- [Integration: what needs integration tests]
- [E2E: what needs Playwright coverage, if any]
## Out of Scope
- [Explicitly not included in this work]
## Notes
- [Domain terms: add to CONTEXT.md if new]
- [Dependencies on other work]
- [Security considerations]
4. Present for approval
Show PRD to user. Ask: "Does this capture what you need? [yes / adjust]"
Incorporate feedback, re-present if needed.
5. Post to GitHub Issues (optional)
If user confirms and repo has GitHub remote:
gh issue create \
--title "[PRD] <feature name>" \
--body "$(cat <<'EOF'
[PRD content]
EOF
)" \
--label "enhancement,ready-for-agent"
Report issue URL.
6. Save locally
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.
- yesterday First seen · 119 lines · 51 tokens per session scan A c2c79e008f2d
prd is a skill published in the GitHub repository datit309/supergraph (21 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 765 once invoked, about $0.0003 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 2026-08-30.
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