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.
git clone --depth 1 https://github.com/tomzx/agentsnpx agentmods add skills/tomzx/agents/end-of-day-summaryWrote 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/tomzx/agents/end-of-day-summary)<a href="https://agentmods.dev/skills/tomzx/agents/end-of-day-summary"><img src="https://agentmods.dev/badge/skills/tomzx/agents/end-of-day-summary/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/tomzx/agents/end-of-day-summary"><img src="https://agentmods.dev/badge/skills/tomzx/agents/end-of-day-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00032 | $0.01141 |
| Opus 5 | $0.00016 | $0.00571 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
end-of-day-summary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BASE_DIR=!~/.agents/scripts/get-env NOTES_DIR
TODAY=!date +%Y-%m-%d
YESTERDAY=!date -d "yesterday" +%Y-%m-%d
TOMORROW=!date -d "tomorrow" +%Y-%m-%d
YEAR=!date +%Y
MONTH=!date +%m
DAY=!date +%d
NEXT_WORKDAY=!date -d "$([ $(date +%u) -ge 5 ] && echo "next Monday" || echo "tomorrow")" +%Y-%m-%d
Generate End-of-Day Summary
Produces structured summaries of GitHub and Slack activity for the current day, an overall accomplishments/blockers report, a timeline, and a standup draft for the next workday.
Prerequisites
SLACK_TOKEN,SLACK_COOKIE, andSLACK_USERin.env(same credentials used bycollect_individual_threads.py)ghCLI authenticatedsummarize-github-activityscript at$HOME/repos/git/personal-automation/others/summarize-github-activityNOTES_DIRenvironment variable set (resolved via~/.agents/scripts/get-env NOTES_DIR)SLACK_USERenvironment variable set (resolved via~/.agents/scripts/get-env SLACK_USER; Slack username, e.g.tom.rochette)~/.agents/scripts/get-envutility available
Pipeline
GitHub Activity --> {BASE_DIR}/{YEAR}/{MONTH}/{DAY}.github.md
Slack Activity --> {BASE_DIR}/{YEAR}/{MONTH}/{DAY}.slack.md
Overall Summary --> {BASE_DIR}/{YEAR}/{MONTH}/{DAY}.overall.md
Timeline --> {BASE_DIR}/{YEAR}/{MONTH}/{DAY}.timeline.md
Standup --> {BASE_DIR}/{YEAR}/{MONTH}/{NEXT_WORKDAY}.standup.md
Steps
1. Summarize GitHub Activity
$HOME/repos/git/personal-automation/others/summarize-github-activity tomzx {TODAY} {TODAY} Shopify,shop
Write output to {BASE_DIR}/{YEAR}/{MONTH}/{DAY}.github.md.
2. Summarize Slack Activity
Collect Slack threads for {TODAY} using collect_individual_threads.py. Slack's after:/before: search operators are exclusive, so use the day before and the day after {TODAY} as bounds:
SLACK_USER=`~/.agents/scripts/get-env SLACK_USER`
uv run skills/slack-kb-individual/collect_individual_threads.py \
--user $SLACK_USER \
--after {YESTERDAY} --before {TOMORROW} \
-o {BASE_DIR}/{YEAR}/{MONTH}/{DAY}.slack.jsonl
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.
- 8d ago First seen · 138 lines · 32 tokens per session scan A e67978a8df74
end-of-day-summary is a skill published in the GitHub repository tomzx/agents (8 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,141 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 2026-09-03.
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