onsite-propose

onsite-propose is a skill for Claude Code from shalintripathi/organic-os. It costs 33 tokens per session (1,187 once invoked), scanned A, original, MIT.

A process for turning website findings into precise proposed edits that require approval. Proposals can cover page titles, search descriptions, preferred URLs, focus terms, structured data, or quoted content changes.

In plain words
What is it for?
Use it to draft fixes for named pages or findings, including exact before-and-after text. A preferred URL, also called a canonical URL, tells search engines which version of a page should be treated as the main one.
Why use it?
It makes the intended end state clear before anything is changed and records when an earlier decision rejected similar work.

Skill for Claude Code

Written for Claude Code: $CLAUDE_PLUGIN_ROOT variable. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the organic-os plugin — 24 skills, 24 commands, 14 agents shipped together

Good fit Use it to draft fixes for named pages or findings, including exact before-and-after text. A preferred URL, also called a canonical URL, tells search engines which version of a page should be treated as the main one.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add shalintripathi/organic-os
Claude Code
/plugin install organic-os

Made for: Claude Code.

Or install organic-os, the plugin that ships this one along with the rest of its 24 skills, 24 commands, 14 agents.

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 onsite-propose

README.md
[![agentmods](https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-propose/github.svg)](https://agentmods.dev/skills/shalintripathi/organic-os/onsite-propose)
Your own site
<a href="https://agentmods.dev/skills/shalintripathi/organic-os/onsite-propose"><img src="https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-propose/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 onsite-propose

Your own site · 80×15
<a href="https://agentmods.dev/skills/shalintripathi/organic-os/onsite-propose"><img src="https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-propose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,187 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.
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 $0.00033 $0.01187
Opus 5 $0.00016 $0.00593
Sonnet 5 $0.00007 $0.00237
Haiku 4.5 $0.00003 $0.00119

Measured 9d ago against content hash 93b6c9c46d84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

onsite-propose 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 9d 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.

plugin/skills/onsite-propose/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Propose on-page changes (creates gated items; applies nothing)

  1. Input: audit findings, a signal reference, or a user request naming URLs.
  2. For each change, draft the exact after-state: new title (<= 60 chars), new meta description (<= 155 chars), canonical, focus keyword, schema JSON-LD payload, or a content edit (quote the exact before/after text). 2b. Decision check, BEFORE any create_item call. For every target, search the brain's decision memory: PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -c "..." snippet importing core.decisions - search(<brain>, [<page path>, <focus keyword>, <what the fix does>]). It returns prior decisions newest first with date, choice, scope, item, and the rationale. A hit whose choice is rejected means a human already refused this work. Exactly two paths are allowed, never a third:
    • SKIP it, and say so in the run report: name the page, the decision date, and the recorded reason.
    • Or CREATE it with a line in the proposal body reading "previously rejected on because ; proposing again because ". What changed must be a concrete new fact - a new signal, a ranking move, a competitor or site change - never "worth another look". Silently re-creating a rejected proposal is forbidden. A hit with any other choice is context to quote in the body, not a blocker.
  3. One proposal item per page: create_item(kind="onpage-fix", target=<url>, body=<before/after table + rationale + expected effect + falsifiability>). create_item is the ONLY birth path - items are born proposed with an empty approvals list; never write a proposals/ file directly or set any other status at creation.
  4. Rebuild queue (create_item births items; the rebuild is what puts them in approvals/queue.md). Notify per the profile approval channel with ONE call: PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -c "..." importing core.approval and calling notify_pending(<brain>, send), where send is a callable taking (path, item) and delivering over the channel chosen below. It sends every un-notified proposed item and marks each as it goes. An item is marked notified ONLY after its send returns without raising, so a failed send is retried on the next run rather than lost, and re-runs never re-notify. Do not call is_notified or mark_notified by hand. Channel selection:
    • in-session: present now with AskUserQuestion (approve/reject each)
    • telegram: send via core.telegram send_item (token from env file), then poll with core.approval.process_telegram_decisions on the next run to collect replies (offset persisted automatically)
    • pr-merge: commit the proposal file on a branch, open a PR (gh pr create)
    • slack/email: post/send a summary via the available connector; approval happens in-session or by channel reply read at the next run 4b. Image and alt-text fixes (action type: image-fix). Audit findings from the images checks - a missing or empty alt (skills/onsite-audit step 2), an imageless 500+ word explainer (step 3.3) - become one onpage-fix proposal per page whose body declares action: image-fix and carries one line per image:
    • Missing alt text: the image's src and media id (from the CMS adapter's get_media), the current alt (empty), and the proposed alt text. Ground the proposed alt in the surrounding content: describe what the image shows for someone who cannot see it, in one sentence. Never keyword-stuffed - alt text is accessibility text first, and a keyword appears only when the image is genuinely about it.
    • Missing in-content image: reference the ce-image brief path (skills/ce-image writes <slug>-image-brief.md) as the creation route, and name where in the post the image belongs. Creation happens through that brief, outside the apply path: apply only places a file that already exists (see the image-fix section in skills/onsite-apply), so the proposal must be executable once the asset exists, and honest about waiting until it does. Same gate as every proposal: born proposed via create_item, approved by a human, executed by onsite-apply.
  5. Record any in-session decisions immediately via the contract CLI: PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -m core approve <item-path> --actor <user> --channel in-session (or reject, with --note for any reason given). Never edit brain frontmatter directly. The contract CLI is the only write path for status and approvals.

Read the full file on GitHub · 77 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. 9d ago First seen · 77 lines · 33 tokens per session scan A 93b6c9c46d84

Subscribe to this mod's changes

onsite-propose is a skill published in the GitHub repository shalintripathi/organic-os (5 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 1,187 once invoked, about $0.0002 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 2026-08-31.

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