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 apmantza/pi-lens --skill pi-lens-write-ast-grep-rulegit clone --depth 1 https://github.com/apmantza/pi-lensWrote 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/apmantza/pi-lens/pi-lens-write-ast-grep-rule)<a href="https://agentmods.dev/skills/apmantza/pi-lens/pi-lens-write-ast-grep-rule"><img src="https://agentmods.dev/badge/skills/apmantza/pi-lens/pi-lens-write-ast-grep-rule/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/apmantza/pi-lens/pi-lens-write-ast-grep-rule"><img src="https://agentmods.dev/badge/skills/apmantza/pi-lens/pi-lens-write-ast-grep-rule.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 | $0.00039 | $0.02207 |
| Opus 5.5 | $0.00016 | $0.00883 |
| Sonnet 5.5 | $0.00008 | $0.00441 |
| Haiku 4.5 | $0.00004 | $0.00221 |
Grade A, and why
pi-lens-write-ast-grep-rule scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing a pi-lens ast-grep Rule
Drop path: rules/ast-grep-rules/rules/<id>.yml
Same id as a built-in overrides it. Multiple rules per file: separate with ---.
Minimal template
id: no-foo-bar
language: TypeScript # PascalCase — see languages below
severity: warning # error | warning | hint | info — pick by evidence, see below
message: "Avoid foo.bar() — use baz() instead"
note: |
Longer explanation / fix guidance here.
rule:
pattern: foo.bar($ARG)
Pick the severity by the evidence behind the rule, not by feel:
error— only with a documented zero-false-positive audit in thenote. Onlyerrormaps to semanticblockingand stops a turn.warning— a real finding with a known, bounded false-positive rate.hint/info— style opinions. They render as advisory text, never block, and lose the report budget to warnings when a report is capped.
Full policy and the error-promotion procedure: AGENTS.md's "Severity policy
(#1777)" section. Read it before shipping anything above warning.
Before promoting to error
Three things must all be true, and the rule's note must record them:
- A multi-corpus false-positive census, not a single-tree count. Run the
rule over pi-lens's
clients//tests/plus at least one real external codebase of the kind the rule targets, classify every hit, and put the table in the note. - Structural narrowing before exemption. Suppress a legitimate idiom
with a relational constraint (
inside/has/follows, scoped path globs), not with prose telling readers to ignore the hit. Narrow first — don't reach for a lower tier as the easy way out.no-non-null-assertionwas demoted tohint(0124608a), then reverted back towarningonce the same false positives were closed with a structural exclusion instead (b3e1fd79). - Self-scan wiring. Tag the rule
metadata.category: pi-lens-self-scansonpm run astgrep:self-scanholds this tree at zero in CI. Anerrorrule that never runs against pi-lens's own source is an unaudited claim.
What ships with it
1 file 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.
- 2mo ago First seen · 210 lines · 39 tokens per session scan A c956ef243924
pi-lens-write-ast-grep-rule is a skill published in the GitHub repository apmantza/pi-lens (514 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 2,207 once invoked, about $0.0002 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.
pi-lens-write-ast-grep-rule compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pi-lens-write-ast-grep-ruleapmantza/pi-lens | Skill | 514 | yesterday | MIT | A | 39 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |