onsite-apply

onsite-apply is a skill for Claude Code from shalintripathi/organic-os. It costs 39 tokens per session (3,575 once invoked), scanned A, original, MIT.

A controlled process for carrying out approved changes to website pages. It takes a backup, updates the page through the site's content system, checks the published result, and rolls back if verification fails.

In plain words
What is it for?
Use it to apply approved search-related page updates in WordPress or a site whose files are managed through Git. A content management system is the software used to edit and publish site content.
Why use it?
It prevents unapproved edits and provides a recovery copy if the published title, description, or content does not match the approved change.

Skill for Claude Code

Written for Claude Code: $CLAUDE_PLUGIN_ROOT variable.

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 apply approved search-related page updates in WordPress or a site whose files are managed through Git. A content management system is the software used to edit and publish site content.

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-apply

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/shalintripathi/organic-os/onsite-apply"><img src="https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,575 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 $0.00039 $0.03575
Opus 5 $0.00019 $0.01788
Sonnet 5 $0.00008 $0.00715
Haiku 4.5 $0.00004 $0.00358

Measured 9d ago against content hash 03999935e627, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

onsite-apply 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-apply/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apply approved changes (the gate lives here)

  1. Read profile + env file. Poll the channel first if telegram, via core.approval.process_telegram_decisions(root, token, chat_id) - it persists the poll offset and tolerates unknown/stale ids without raising.

  2. List approved onpage-fix items. For each: a. require_approved(path) - this raises on anything not approved. Never catch that error to proceed; report it and skip. b. snapshot() the post (title + meta + content if the proposal touches it) -> save to outcomes/<item-id>-rollback.json in the brain repo. c. Apply via the CMS adapter (onsite.cms.adapter_for; wordpress or git-static per cms.type - the git-static branch below replaces steps b-g): update_seo_meta / update_post per the proposal body. (update_rankmath remains as the WordPress adapter's alias for update_seo_meta.) d. Verify: get_rendered_head(target_url) - assert the new title/description appear in the rendered head. On mismatch: rollback() immediately, then PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -m core status <item-path> failed --actor agent, append a signal "apply-verify failed", and alert. Never leave the item approved. e. PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -m core status <item-path> applied --actor agent; write an outcome record outcomes/<item-id>.md: what changed, when, rollback file, measurement due dates (+7d, +28d). Because the verify just succeeded, also write the re-verification window into the record, exactly these keys (see site-repo-contract.md):

    reverify:
      due: <UTC now+1h>     # first scheduled re-check
      until: <UTC now+48h>  # window end; drift watch owns the horizon after
    

    hoo-daily re-checks the live values between due and until so an external revert (a bulk plugin restore, a theme update) surfaces within hours, not at the next audit. f. On a successful verify, refresh the drift baseline for this page (onsite.drift.snapshot_pages on this post id, merged into the stored onsite.drift.baseline_path entry, then save_baseline) so the change we just made intentionally is never flagged as drift by the next hoo-daily run. g. IndexNow: when site-profile.yaml has indexnow: {enabled: true, key: ...} (additive key), call hoo.indexnow.submit(host, key, [target_url]) after the successful verify and record the returned status in the outcome record (indexnow: {status: N, submitted: 1}). A non-200 is recorded, never retried in-run, and never fails the apply. Skipped in dry-run - nothing changed, nothing to submit.

  3. Commit + push the brain repo if git. Summarize: applied / skipped / failed.

  4. Outcome summary - the approver always hears what happened. Compose ONE message for the whole run and deliver it through the configured approval channel (telegram: one sendMessage over the same transport send_item uses; slack/email: one post/send; in-session: print the summary; pr-merge: no live channel mid-cycle - append the summary to the run report and outcome records instead). Never send per-item messages. Content, one line per item:

    • applied and verified: item id + what changed
    • partially-applied: item id + the exact human step from the status note - the approver must know what is waiting on them
    • failed / rolled back: item id + the reason Silent success is a bug: whoever said yes hears the result, whether it landed, half-landed, or failed. A run that touched nothing sends nothing.

Read the full file on GitHub · 255 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 · 255 lines · 39 tokens per session scan A 03999935e627

Subscribe to this mod's changes

onsite-apply is a skill published in the GitHub repository shalintripathi/organic-os (5 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 3,575 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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