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 serejaris/personal-corp-os --skill pm-prdgit clone --depth 1 https://github.com/serejaris/personal-corp-osWrote 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/serejaris/personal-corp-os/pm-prd)<a href="https://agentmods.dev/skills/serejaris/personal-corp-os/pm-prd"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/pm-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/serejaris/personal-corp-os/pm-prd"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/pm-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
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 →
- high Prompt Injection · line 79 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 88 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Output Handling · line 64 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
- medium System Prompt Leakage · line 177 Skill contains patterns that could indirectly extract system prompts through rephrasing, translation, summarization, or side-channel techniques.Fix: Guard against indirect extraction by refusing to summarize, translate, or rephrase system instructions. Add explicit anti-extraction clauses.
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 | $0.00129 | $0.02162 |
| Opus 5 | $0.00064 | $0.01081 |
| Sonnet 5 | $0.00026 | $0.00432 |
| Haiku 4.5 | $0.00013 | $0.00216 |
Grade A, and why
pm-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 12d 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pm-prd — Generate a structured PRD
Part of the Personal Corp framework — running a one-person business through AI agents. Generate a delivery-ready Product Requirements Document from a feature description. Branches by product type — B2C, B2B, internal tool, platform — with each type emphasizing different modules. Includes a 10-item quality self-check that runs after generation.
Inputs
| Field | Required | Notes |
|---|---|---|
| Feature description | yes | What the feature does and what problem it solves; one sentence minimum |
| Target user | no | Who it's for; inferred from the feature if not given |
| Business goals | no | Expected business metrics (DAU, conversion, revenue, etc.) |
| Product type | no | B2C / B2B / internal / platform; auto-detected if not given |
| Constraints | no | Tech limits, deadlines, resource limits |
| Depth | no | Outline (for review) / detailed (for development); default detailed |
If the user only says "write a PRD" with no feature, ask for the feature description. If they give feature + user + goals, go straight to generation.
Step 1 — Parse input and branch by product type
| Product type | PRD emphasis | Key differentiators |
|---|---|---|
| B2C | UX flow, growth metrics, A/B test plan | Heavy on interaction, heavy on data, write user journeys |
| B2B | Permission model, multi-tenancy, SLA, integration APIs | Heavy on completeness, security, API contracts |
| Internal tool | Operational efficiency, integration with existing systems, training cost | Heavy on practicality, light on visuals |
| Platform | Multi-role interaction, supply-demand matching, ecosystem rules | Heavy on role separation, rules engine |
Auto-detection rules: mentions of "user / member / loyalty / marketplace" → B2C; "enterprise / SaaS / CRM / admin panel" → B2B; "internal / management system / ticketing" → internal tool; "platform / marketplace / two-sided" → platform.
B2B PRDs must additionally cover:
- Permission matrix (role × feature × data scope)
- Multi-tenant data isolation approach
- Integration interfaces with the customer's existing systems
What ships with it
3 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.
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.
- 12d ago First seen · 198 lines · 129 tokens per session scan A b1f1bfd8f08d
pm-prd is a skill published in the GitHub repository serejaris/personal-corp-os (225 stars, last pushed 16d ago), licensed MIT. It adds 129 tokens to every session and 2,162 once invoked, about $0.0006 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.
Other skills, from other repositories
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figure-rhetoric
Evaluate whether figures and plots in a manuscript effectively communicate the claims they support. Audits chart-type fit, axis design, visual hierarchy, data density, caption interpretation, perceptual accuracy, and narrative arc across 8 dimensions. Triggers on: "do my figures work", "check my plots", "are my graphs…
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manuscript-provenance
Computational provenance audit verifying every number, table, and figure in a manuscript derives from code, not manual entry. Triggers on: "check provenance", "verify reproducibility", "audit my pipeline", "are my numbers from code", "provenance audit". Companion to manuscript-review (prose audit).
code-refiner
Deep code simplification and refactoring preserving behavior across Python, Go, TypeScript, Rust. Targets complexity, anti-patterns, readability debt. Triggers on: "simplify this code", "refactor for clarity", "reduce complexity", "make this more readable", "tech debt cleanup", "too much nesting".
competitive-analyzer
Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility…