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/vincentmumme/personalos-boilerplatenpx agentmods add skills/vincentmumme/personalos-boilerplate/skillifyWrote 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/vincentmumme/personalos-boilerplate/skillify)<a href="https://agentmods.dev/skills/vincentmumme/personalos-boilerplate/skillify"><img src="https://agentmods.dev/badge/skills/vincentmumme/personalos-boilerplate/skillify/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/vincentmumme/personalos-boilerplate/skillify"><img src="https://agentmods.dev/badge/skills/vincentmumme/personalos-boilerplate/skillify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.02088 |
| Opus 5 | $0.00033 | $0.01044 |
| Sonnet 5 | $0.00013 | $0.00418 |
| Haiku 4.5 | $0.00007 | $0.00209 |
Grade A, and why
skillify 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 9d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: skillify
Contract
This skill guarantees:
- Repeated real work is converted into compounding PersonalOS capability only when it has a stable trigger, repeat value, and enough logic or risk to justify a skill.
- New or improved skills are produced through the existing PersonalOS skill layer:
skills/<skill-name>/SKILL.md,skills/RESOLVER.md,skills/index.md,routing-eval.jsonl, deterministic scripts when useful, and verification. - Skillification preserves provenance, write boundaries, failure modes, tests, and resolver reachability instead of creating invisible prompt fragments or duplicate skills.
- Quality is checked before behavior is cemented: use cross-model or cross-modal review when available for substantial LLM-heavy skills, then write tests and routing evals that lock in the proven behavior.
write-skillremains the canonical authoring sub-skill. This skill decides what should be skillified and orchestrates the hardening loop.- Any POS file mutation performed while skillifying uses [[system/runbooks/core/personalos-mutation|PersonalOS mutation runbook]] with an explicit changed-file list and postflights through
pos-verify.
Phases
-
Identify the skill candidate. Read the current chat, supplied source, recent run artifact, workflow file, repo code, or PersonalOS context that produced the repeatable pattern. If the source is an external URL or article, use
source-extractor a stable source pointer before writing durable claims. Capture the candidate name, actual user trigger phrases, repeated steps, edge cases, write targets, external systems, and observed failures. -
Reject non-skills early. Do not skillify unless at least one of these is true: the workflow will be invoked at least twice, it contains more than trivial instructions, it touches canonical truth or external systems, it has a stable user phrase, it needs deterministic code, or failure would create meaningful drift. If it is a one-off, answer with the narrower artifact: note, script, todo, reference, or direct execution.
What ships with it
2 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.
- 9d ago First seen · 115 lines · 66 tokens per session scan A b6f9c5220f76
skillify is a skill published in the GitHub repository vincentmumme/personalos-boilerplate (17 stars, last pushed 15d ago), licensed MIT. It adds 66 tokens to every session and 2,088 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 2026-08-31.
Other skills, from other repositories
lint-brain
Run health checks over the brain vault - find orphan notes, broken wikilinks, missing frontmatter, stale projects, and missing cross-links. Use when asked to "lint the brain", "health check", "vault hygiene", or "/lint-brain".
ingest-article
Ingest an article from a URL or raw text into the brain vault. Extracts key knowledge, determines placement, creates or updates notes, and links to relevant projects. Use when the user shares a URL or text and wants to absorb it into their knowledge base.
wrap-session-up
End-of-session review for a Claude Code conversation. Replays what was discussed, checks for open action items, documents relevant outcomes in the brain vault, and creates Todoist tasks for anything untracked. Use at the end of a work session to ensure nothing falls through the cracks.
kickoff
Guided first-run setup for a forked brain-starter vault. Walks through identity, first project, semantic search, integrations, indexes, and the first commit - verifying each phase before moving on. Use when the user has just forked or cloned brain-starter, says "set up my brain", "I just forked brain-starter", or runs…
project-sync
On-demand AI-powered sync of a project's repo state into the brain vault. Reads live git/GitHub/Jira data, updates the project status doc, and makes targeted edits to relevant brain docs where content is clearly stale. Triggered by "/project-sync [name]", "sync [project]", "what's the current state of [project]".
research-spike
Research a topic using /last30days community signals, then produce a structured comparison matrix and recommendation note in the brain vault. Use when evaluating tools, libraries, vendors, or approaches — e.g. "spike on auth providers", "research X vs Y", "evaluate options for Z".