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 pproenca/dot-skills --skill dev-rfcgit clone --depth 1 https://github.com/pproenca/dot-skillsWrote 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/pproenca/dot-skills/dev-rfc)<a href="https://agentmods.dev/skills/pproenca/dot-skills/dev-rfc"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/dev-rfc/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/pproenca/dot-skills/dev-rfc"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/dev-rfc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 223 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00143 | $0.03480 |
| Opus 5 | $0.00072 | $0.01740 |
| Sonnet 5 | $0.00029 | $0.00696 |
| Haiku 4.5 | $0.00014 | $0.00348 |
Grade A, and why
dev-rfc 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 6d 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 -s -X POST http://localhost:3118/api/section/add \ How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev RFC Skill
Write RFCs and technical proposals that serve two purposes: aligning stakeholders on what to build and why (RFCs), and helping engineers understand how a system works (architecture docs). Most real proposals blend both — the skill helps you pick the right sections for the situation.
Reference Templates
Read references/template.md for the three structural templates:
- RFC — for pre-build alignment. Focuses on abstract, approaches (with fair comparison), service SLAs, observability, and rollout plan.
- Architecture Doc — for documenting built systems. Focuses on diagrams, source tree, data flow, design philosophy.
- One-Pager — for small changes (< 1 week). Problem, Proposed Solution, Rollout. ~20 lines.
Step 0: Pick the Mode
Ask the user (or infer from context) which situation they're in:
| Situation | Mode | Key question the doc answers |
|---|---|---|
| Planning a new system or major change | RFC | "Should we build this, and how?" |
| Documenting an existing system | Architecture Doc | "How does this system work?" |
| Proposing a change to an existing system | RFC (with before/after diagrams in Detailed Design) | "Why are we changing this, and what will it look like?" |
| Small scoped change (< 1 week) | One-Pager | "What and why, briefly?" |
For changes to existing systems, use the RFC structure as the backbone but include before/after architecture diagrams in the Detailed Design section, with [NEW] and [CHANGED] markers on components.
File Placement
- Formal proposal or RFC —
docs/rfcs/RFC-NNN-title.mdas primary location - Architecture doc for the whole project —
ARCHITECTURE.mdat the repo root - Subsystem doc —
docs/design/subsystem-name.mdor alongside the code it describes
If the user hasn't specified where to put the doc, ask.
Step 1: Understand the Project
Before writing anything, build a mental model.
For RFCs:
- Clarify the problem statement and constraints with the user
- Understand who the stakeholders and approvers are
- Ask about existing systems this interacts with or replaces
- Identify hard constraints (timeline, budget, compatibility, compliance)
- Ask what alternatives have already been considered or rejected
What ships with it
10 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.
- assets/marked.min.js 39 KB runs code
- assets/mermaid.min.js 2894 KB runs code
- assets/review_template.html 55 KB
- bun.lock 2.9 KB
- metadata.json 276 B
- package.json 262 B
- references/template.md 11 KB
- scripts/generate_review.py 25 KB runs code
- scripts/generate_review.test.ts 11 KB runs code
- scripts/generate_review.ts 24 KB runs code
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.
- 6d ago First seen · 277 lines · 143 tokens per session scan A 790ce9647100
dev-rfc is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 143 tokens to every session and 3,480 once invoked, about $0.0007 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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