content-pass

content-pass is a skill for Claude Code, Codex from HugoRCD/evlog. It costs 154 tokens per session (3,175 once invoked), scanned A, original, MIT.

A recurring review process for improving written material across evlog's documentation, landing page, package READMEs, skills, and agent instruction files.

In plain words
What is it for?
Use it to review content against the repository's writing standards, apply suitable fixes, identify items needing follow-up, and open one draft pull request.
Why use it?
It limits each review to the files most in need, so one pass produces focused changes and a report instead of attempting to rewrite the whole collection.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/content-lint/index.mjs <each target> --fix.

Good fit Use it to review content against the repository's writing standards, apply suitable fixes, identify items needing follow-up, and open one draft pull request.

Compare 6 skills from other repositories ↓
About the project

evlog is a TypeScript-first logging and observability project built around wide events and structured errors across runtimes. It is intended to help developers record application behavior and diagnose failures.

HugoRCD/evlog · 1,895 stars · on GitHub · evlog.dev

Install

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.

Clone the repo
git clone --depth 1 https://github.com/HugoRCD/evlog
agentmods
npx agentmods add skills/hugorcd/evlog/content-pass

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for content-pass

README.md
[![agentmods](https://agentmods.dev/badge/skills/hugorcd/evlog/content-pass/github.svg)](https://agentmods.dev/skills/hugorcd/evlog/content-pass)
Your own site
<a href="https://agentmods.dev/skills/hugorcd/evlog/content-pass"><img src="https://agentmods.dev/badge/skills/hugorcd/evlog/content-pass/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.

agentmods 80×15 button for content-pass

Your own site · 80×15
<a href="https://agentmods.dev/skills/hugorcd/evlog/content-pass"><img src="https://agentmods.dev/badge/skills/hugorcd/evlog/content-pass.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00154 $0.03175
Opus 5.5 $0.00062 $0.01270
Sonnet 5.5 $0.00031 $0.00635
Haiku 4.5 $0.00015 $0.00317

Measured 1mo ago against content hash 72ca7911e505, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-pass 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.

apps/evi/agent/skills/content-pass/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content pass

One pass, one group, one pull request. The corpus is ~120 files: the docs tree and the landing, the four package READMEs, the internal and published skills, and the three AGENTS.md files. None of that gets fixed in a day, and trying is how a rewriter starts rewriting for its own sake.

Half the corpus is read by people and half by agents, and the pass treats them differently. A skill or an AGENTS.md governs the agent running this pass, so it may fix a house rule there (punctuation, a dead link, a retired entry point, a wrong term) and nothing else. Procedure, bounds, and a skill's description come back as findings for Hugo. That is M-09 in the doctrine, and content__targets enforces it by returning those files with mode report.

The doctrine lives in the repository, at .agents/skills/write-evlog-content/. This file is the procedure; that skill is the standard. Never restate its rules here. Read them there, and when they are wrong, fix them there.

The two halves

Rewrite is the default: the scanner ranks the corpus, the worst pages get reviewed, and what survives review gets applied.

Enrich is what runs when the rewrite half comes back empty, with no page above the bar or everything ranked inside its cooldown. That is a good day, not a wasted one. Switch to the second half rather than lowering the bar.

Never run both in one pass. A PR that rewrites two pages and adds a third is a PR nobody reviews properly.

Rewrite

1. Pick the targets

Call content__targets. It runs the scanner over the whole corpus, drops files changed inside the cooldown, and returns the top files from a single group with their candidates. A group is one docs section, one skill's directory, or a flat surface (readme, agents, landing).

Pass surface when Hugo asked for one, or when the weekly corpus check found a surface drifting. Otherwise take what ranks.

Read eligible before deciding anything. It is the count of files with findings that are outside the cooldown, and it is the only number that says whether there is work. eligible: 0 sends you to Enrich. Anything above zero means the rewrite half has targets, and the pass rewrites.

Read the full file on GitHub · 175 lines

Changes

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.

  1. 1mo ago First seen · 175 lines · 154 tokens per session scan A 72ca7911e505

Subscribe to this mod's changes

content-pass is a skill published in the GitHub repository HugoRCD/evlog (1,895 stars, last pushed 3d ago), licensed MIT. It adds 154 tokens to every session and 3,175 once invoked, about $0.0006 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.

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