Borrowing it
Nothing to install: this file belongs to phase-rs/phase. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/phase-rs/phase/main/.claude/skills/unlock-set/SKILL.mdgit clone --depth 1 https://github.com/phase-rs/phaseWrote 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/phase-rs/phase/unlock-set)<a href="https://agentmods.dev/skills/phase-rs/phase/unlock-set"><img src="https://agentmods.dev/badge/skills/phase-rs/phase/unlock-set/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/phase-rs/phase/unlock-set"><img src="https://agentmods.dev/badge/skills/phase-rs/phase/unlock-set.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 | $0.00103 | $0.06318 |
| Opus 5.5 | $0.00041 | $0.02527 |
| Sonnet 5.5 | $0.00021 | $0.01264 |
| Haiku 4.5 | $0.00010 | $0.00632 |
Grade A, and why
unlock-set 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 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.
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 — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unlock Set Cards — Tier-Based Coverage Pass
Derive a set's unsupported card list, cluster by shared missing primitive (not by card), rank clusters by unlock-count × engineering cost, then run each cluster through $engine-implementer sequentially. Commit between clusters. Defer anything that would ship a partial runtime worse than Unimplemented.
When to use this skill vs. parser-velocity
This skill runs the heavy loop: cluster→plan→implement→review per cluster, full gate between clusters, CR annotations, typed primitive work. Right when the work is cluster-level infrastructure (new typed enum variants, new runtime mechanics, new combat/stack/resolver behavior, anything needing CR validation).
Use the companion parser-velocity skill instead when:
- The target cards are "almost supported" — parser recognizes most of the text but misses one variation.
- The fix per card is "add a
tag()arm to an existingalt()" with no runtime work. - You want to iterate across the
parser:*categories ofcargo parser-gaps— gaps with a typed parser verdict, which are the parser-only work. - You want to defer the full gate (
fmt/clippy/test-all/coverage/semantic-audit) to session end instead of paying it per cluster.
parser-velocity batches edits per compile cycle and avoids the $engine-implementer plan/review overhead — use it for quick wins, then return here for the cluster-level work that remains.
Prereqs. Run from the repo root. The $engine-implementer skill must be available. cargo, jq, ./scripts/gen-card-data.sh, and docs/MagicCompRules.txt must be present (run ./scripts/fetch-comp-rules.sh if missing).
Phase 0 — Resolve the Set
If the user named a set, resolve it to a set code. Otherwise, pick the highest-ROI recent set using the triage rubric below.
# By name (fuzzy):
jq -r 'to_entries[] | select(.value.name | test("<user phrase>"; "i")) | "\(.key)\t\(.value.name)\t\(.value.baseSetSize // 0)\t\(.value.type // "")" ' client/public/set-list.json
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 Changed 3608864fe83e
- 2mo ago First seen · 440 lines · 103 tokens per session scan A 88a33ad9157d
unlock-set is a skill published in the GitHub repository phase-rs/phase (312 stars, last pushed today), licensed Apache-2.0. It adds 103 tokens to every session and 6,318 once invoked, about $0.0004 per session on Opus 5.5. 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
testing-rules
Testing standards — frameworks, the testable-logic trigger, golden/snapshot rules, mocking rules, and the test-author → testing-reviewer pipeline. Load for /add-tests and any change that touches testable logic.
author-contract
Shared write-side contract every domain AUTHOR imports — smallest-diff implementation, ground-first, validation gates, tests-are-blocking, and never-approve-your-own-work. The write-side mirror of token-efficiency. Load at the start of any implementation task.
coding-standards
General repo rules enforced by ESLint/TypeScript/CI — PRs-only, never bypass lint, import ordering, type imports, path privacy, commit format. Load for any code change.
anarlog
Query Anarlog meetings, notes, summaries, transcripts, participants, action items, and recurring history, or import a local recording. Use when a user asks about their Anarlog meeting data or needs meeting context for another task.
graphify-windows
Turn any folder of files into a navigable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPHREPORT.md.
lessons
How to propose and query distilled lessons (the experiential memory). Only project-steward persists; every other agent proposes/queries. Use when you discover a durable lesson or need prior experience for the current task.