hoo-monday-report

hoo-monday-report is a skill for Claude Code from shalintripathi/organic-os. It costs 53 tokens per session (1,330 once invoked), scanned A, original, MIT.

A weekly reporting routine that summarizes recent activity from a specified collection of work records, such as daily signals, outcomes, approvals, and run reports.

In plain words
What is it for?
It helps prepare a Monday report covering recent changes, recorded outcomes, approvals, report runs, and newly confirmed working notes.
Why use it?
It turns scattered weekly updates into a short stakeholder-ready report and stays honest when little information is available.

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 It helps prepare a Monday report covering recent changes, recorded outcomes, approvals, report runs, and newly confirmed working notes.

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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 hoo-monday-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/shalintripathi/organic-os/hoo-monday-report/github.svg)](https://agentmods.dev/skills/shalintripathi/organic-os/hoo-monday-report)
Your own site
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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.

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Your own site · 80×15
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Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,330 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 $0.00053 $0.01330
Opus 5 $0.00026 $0.00665
Sonnet 5 $0.00011 $0.00266
Haiku 4.5 $0.00005 $0.00133

Measured 12d ago against content hash da16153f255b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hoo-monday-report 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 12d 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/hoo-monday-report/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monday report

Resolve the brain: use registry.get_active() when running interactively; scheduled runs receive the brain path from the routine configuration.

  1. Run core.contracts.check_schema(brain_path) first. If not compatible, relay the action string and stop before any of the steps below.

  2. Read the last 7 days only: signals/YYYY-MM-DD.md files in the window, outcomes/ records touched in the window, approvals/queue.md as it stands today, runs/ report folders created in the window, and any skillbook.md entries whose last-confirmed date falls in the window (cross-reference reflections/ for the week to see which entries were added vs. just touched).

  3. Write runs/YYYYMMDD-monday-report/REPORT.md with exactly these five sections, in this order, and no others:

    • What moved - the top 3 metric changes this week. Each line names the number and the file it came from (a signal line or an outcome record). When the week's signals carry ai_referrals lines, add one line for AI referrals - the week's total and the direction against the prior week (the AI-surface list is maintained in hoo-daily's SKILL.md); no ai_referrals lines in the window means no AI line, never an invented one. When the window's weekly run appended keyword-portfolio rows to keywords/history.tsv, add one line for the biggest mover - the keyword, position now vs the prior recorded week, labeled honestly as GSC average position, not scraped SERP rank (the rule lives in hoo-weekly's Keyword portfolio section); no new history rows in the window means no keyword line, never an invented one. When ~/.config/organic-os/cost-ledger-YYYYMM.tsv exists, close the section with one cost line - runs this week, total duration, tokens where the ledger has them; no ledger means no cost line, never an invented number.
    • What shipped - proposals that reached applied and briefs that reached published this week, each with the item id and a link to its file in the brain.
    • What needs you - every item currently proposed in approvals/queue.md, one line each: what it is and what deciding it takes (a yes/no, not "please review").
    • What we learned - skillbook entries appended or edited this week, restated in plain language, no evidence-tier jargon, each with its source item.
    • Next week - the 2-3 highest-leverage proposed or approved items still queued, ranked by the expected impact stated in their own source signal or finding.
  4. Every number and claim must trace to one specific file in the brain. Never invent a metric, a trend, or a "likely cause" the brain does not already state. If a section has nothing to report, say so in one line instead of omitting the section or padding it.

  5. Write for a reader with no SEO background: plain nouns and verbs, no unexplained acronyms, no jargon. Keep the whole report under 400 words.

  6. Sparse week (few or no signals, outcomes, or shipped items): the report gets shorter, not padded - state plainly what did not happen ("no proposals shipped this week; two are still waiting on your review").

  7. Deliver the report as a document through the configured approval channel. Document delivery is a channel capability, not a Telegram feature (ADR-0009 in the repo): each adapter declares whether it can carry a file, and a channel that cannot reports the file path instead. The markdown REPORT.md stays in runs/ as the canonical record either way - the document is a delivery format, never the source of truth. a. Render HTML next to the markdown: PYTHONPATH="$CLAUDE_PLUGIN_ROOT/lib" python3 -c snippet calling core.report_render.render_html(markdown_text, title, site_name) (title "Monday report YYYY-MM-DD", site_name from the profile) and writing runs/YYYYMMDD-monday-report/REPORT.html. b. Probe for a PDF converter with core.report_render.find_pdf_converter() (the probe list is canonical in report_render.py). If one is found, core.report_render.to_pdf(html_path, converter); a None return means fall back to the HTML file, no error. c. Compose a two-line caption from the report itself: line 1 the week ("Monday report, week of YYYY-MM-DD - "), line 2 the single strongest What-moved line plus the count of items waiting ("3 waiting on you" / "nothing waiting"). No invented numbers here either - both lines quote the report. d. Send per channel: telegram - core.telegram.send_document(token, chat_id, path, caption=...) with the PDF if produced, else the HTML. in-session - save the file where step 2 wrote it and tell the user the exact path (attach it if the session surface can). slack/email - the adapter sends the file where the connector supports attachments; where it does not, deliver the caption plus the file path. pr-merge - the report is already in the brain repo; the caption plus the file path is the message. e. A failed send never fails the run: note it in one line at the end of REPORT.md and continue.

  8. Commit "monday-report: YYYY-MM-DD" if git.

Read the full file on GitHub · 91 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. 12d ago First seen · 91 lines · 53 tokens per session scan A da16153f255b

Subscribe to this mod's changes

hoo-monday-report is a skill published in the GitHub repository shalintripathi/organic-os (5 stars, last pushed 5d ago), licensed MIT. It adds 53 tokens to every session and 1,330 once invoked, about $0.0003 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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