Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add charlie947/life-automation-skills --skill standup-writergit clone --depth 1 https://github.com/charlie947/life-automation-skillsWrote 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/charlie947/life-automation-skills/standup-writer)<a href="https://agentmods.dev/skills/charlie947/life-automation-skills/standup-writer"><img src="https://agentmods.dev/badge/skills/charlie947/life-automation-skills/standup-writer/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/charlie947/life-automation-skills/standup-writer"><img src="https://agentmods.dev/badge/skills/charlie947/life-automation-skills/standup-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00125 | $0.01948 |
| Opus 5 | $0.00063 | $0.00974 |
| Sonnet 5 | $0.00025 | $0.00390 |
| Haiku 4.5 | $0.00013 | $0.00195 |
Grade A, and why
standup-writer 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to use this skill
Use it when the user needs to report what they got done, sourced from their real activity rather than memory:
- "Write my standup" / "my update for the sync" / "what do I say in standup?"
- "Status update for my manager" / "weekly update for my team"
- "What did I get done this week?" / "recap my week"
- "Draft my Done / Doing / Blockers" or "Progress / Plans / Problems"
- Any request to turn a period of work into a short, honest status post.
Do not use it to post the update automatically (see the safety rules), and do not use it to write a report the sources can't support. This skill reports what happened. It does not manufacture a week.
What it needs (setup)
This skill reads three activity sources. It works with whichever are connected, and it says which ones it used.
- Slack or Microsoft Teams: reads the user's own recent messages so it can see what they reported shipping, the decisions they logged, and the questions they raised. Read-only. It cannot post the finished update anywhere without an explicitly approved send path.
- Google Calendar or Microsoft 365: lists the meetings in the window. A calendar entry proves a meeting was scheduled, not that the user attended it or what came out of it (see the limits below).
- Notion: reads a tasks database the user points to, for items moved to Done / In Progress / Blocked in the window.
- Linear (optional): there is no assumed first-party Linear connector here. If the user runs Linear over an MCP server, this skill will read completed issues from it. If not, it falls back to Notion, or asks the user to paste their closed issues. Be honest about this rather than pretending Linear is wired.
If a source the user expects is not connected, name it and carry on with the rest. Never fabricate activity to fill the gap.
The honest limit this skill is built around
Every one of these sources records activity, not achievement, and none of them is a complete record. Slack search is scoped: it returns what the connector is authorised to see and will miss private DMs and channels it is not in, so a "no results" is not proof the user did nothing. A calendar shows a meeting was booked, not that it happened or what was decided. A task marked Done tells you a status changed, not what the outcome was worth. So this skill pulls the signals, shows what it actually found, and leaves everything it could not evidence as a [NEEDS: …] gap. It never rounds activity up into an accomplishment.
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.
- 12d ago First seen · 86 lines · 0 tokens per session scan A 3696f5b9a5d9
standup-writer is a skill published in the GitHub repository charlie947/life-automation-skills (23 stars, last pushed 14d ago), licensed MIT. It adds 125 tokens to every session and 1,948 once invoked, about $0.0006 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 2026-08-30.
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