Borrowing it
Nothing to install: this file belongs to bex-co/bex. 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/bex-co/bex/main/.claude/skills/rt-normalize-abstractions/SKILL.mdgit clone --depth 1 https://github.com/bex-co/bexWrote 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/bex-co/bex/rt-normalize-abstractions)<a href="https://agentmods.dev/skills/bex-co/bex/rt-normalize-abstractions"><img src="https://agentmods.dev/badge/skills/bex-co/bex/rt-normalize-abstractions/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/bex-co/bex/rt-normalize-abstractions"><img src="https://agentmods.dev/badge/skills/bex-co/bex/rt-normalize-abstractions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00073 | $0.01020 |
| Opus 5.5 | $0.00029 | $0.00408 |
| Sonnet 5.5 | $0.00015 | $0.00204 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
rt-normalize-abstractions 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 24d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Routine: Abstraction Police
Enforce the layering: operator → types ← backend; types imports no sibling; cli imports no lego sibling; the dashboard talks to the backend only through its API client and never reimplements server-authoritative logic.
Routine ground rules
- A user request to run this routine authorizes the full cycle: plan, fix, verify, then invoke
$ship(Codex) or/ship(Claude) directly in the same run. Honor explicit user limits such as audit-only or no-ship. - Keep a concise execution plan in the conversation and update it as findings are confirmed. Continue into implementation without a planning approval pause. Do not create or file a
.pmmilestone/task as a prerequisite or substitute for fixing; use the board only if the user requests it. - After the verification phase, follow the shipping phase below without asking the user to invoke ship separately. Preserve the ship skill's branch, conflict-resolution, and safety rules.
- Fix everything you find directly in the working tree. If a fix can't be finished safely in this run, revert only your partial work for that fix and list it under Deferred in the report — never leave the tree half-refactored.
- Scope: parse
$ARGUMENTSper Phase 1 — an optional path/module scope or skill-specific target. No argument = the skill's stated default (usually the whole repo via parallel agents per module: lego/types, lego/operator, lego/backend, lego/cli, dashboard). - False-positive discipline: if a finding is intentional, load-bearing, or ambiguous, skip it with a one-line reason — don't argue it into a change.
- Every change must pass the verification gates for the modules it touched before being reported as done: operator
make test+make lint(fromlego/operator/),cd lego/backend && go test ./...,cd lego/cli && go test ./..., dashboardyarn test+ typecheck. - Run
npx [email protected] --writeon any markdown touched. - Before shipping, summarize results in commentary using: Fixed (file:line + one-line rationale) / Deferred (item + why) / Skipped (finding + reason) / Gates (commands run + outcomes).
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.
- 24d ago First seen · 52 lines · 73 tokens per session scan A 55faf306e926
rt-normalize-abstractions is a skill published in the GitHub repository bex-co/bex (574 stars, last pushed today), licensed Apache-2.0. It adds 73 tokens to every session and 1,020 once invoked, about $0.0003 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 2026-09-30.
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