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/phase-rs/phase/parser-velocitynpx skills add phase-rs/phase --skill parser-velocitygit clone --depth 1 https://github.com/phase-rs/phaseWhat 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 | $0.00127 | $0.03884 |
| Opus 5 | $0.00063 | $0.01942 |
| Sonnet 5 | $0.00025 | $0.00777 |
| Haiku 4.5 | $0.00013 | $0.00388 |
Grade A, and why
parser-velocity 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 2d 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parser Velocity — Quick-Win Iteration Loop
unlock-set runs full gates (cargo fmt / clippy-strict / test -p phase-engine / coverage / semantic-audit) between every cluster. That's right for cluster-level infrastructure but fatal for near-miss work where the real fix is "add one tag() arm to an existing alt()." This skill keeps the inner loop fast by batching edits per compile cycle, then running the full gate exactly once at session end.
When to use this skill vs. unlock-set:
- Use this skill when the target is "cards that are almost supported" — the parser recognizes most of the text but misses one variation. Category A (VerbVariation), B (SubjectStripping), D (StaticCondition), and parser-miss C (TriggerEffect) cards.
- Use
unlock-setwhen the target requires a new typed primitive, CR-grounded infrastructure, new runtime mechanic, or anything that warrants plan→implement→review per cluster. Category F (NewMechanic) lives there.
Prerequisite: The Phase 1 jq pipeline uses --rawfile, which requires jq ≥ 1.6. Confirm once per machine: jq --version. macOS system jq is sometimes 1.5 — install a newer version via Homebrew if needed.
Phase 0 — Once per session: prepare state
First run after the session starts. Expect this to take 60–120s cold because gen-card-data.sh re-parses the full ~30k-card corpus.
: > /tmp/velocity-flipped.txt # truncate-or-create empty exclude file
cp client/public/card-data.json /tmp/card-data-before.json # baseline for regression check at gate
./scripts/gen-card-data.sh # fresh card-data.json for analyzer
The exclude set lives at /tmp/velocity-flipped.txt as plain text, one card name per line, no JSON. It's the session-scoped subtraction filter that prevents already-flipped cards from re-appearing in Phase 1 (because card-data.json won't be regenerated until the gate). Populated by Phase 2 step 6. Cleared at the gate.
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.
- 2d ago First seen · 220 lines · 127 tokens per session scan A 7d7e90df38da
parser-velocity is a skill published in the GitHub repository phase-rs/phase (259 stars, last pushed 2d ago), licensed Apache-2.0. It adds 127 tokens to every session and 3,884 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.
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