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 tomzx/agents --skill end-of-day-reviewgit clone --depth 1 https://github.com/tomzx/agentsWrote 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-review)<a href="https://agentmods.dev/skills/tomzx/agents/end-of-day-review"><img src="https://agentmods.dev/badge/skills/tomzx/agents/end-of-day-review/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-review"><img src="https://agentmods.dev/badge/skills/tomzx/agents/end-of-day-review.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 | $0.00026 | $0.00923 |
| Opus 5 | $0.00013 | $0.00462 |
| Sonnet 5 | $0.00005 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
end-of-day-review 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 — 119 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
YEAR=!date +%Y
MONTH=!date +%m
DAY=!date +%d
End-of-Day Review
Guides a structured reflection on how the day's work aligned with personal and team goals, where attention went, and what needs to shift tomorrow.
Prerequisites
NOTES_DIRenvironment variable set (resolved via~/.agents/scripts/get-env NOTES_DIR)~/.agents/scripts/get-envutility available- Optional:
{BASE_DIR}/{YEAR}/{MONTH}/{DAY}.overall.mdfrom end-of-day-summary - Optional:
{BASE_DIR}/goals.mdwith current personal goals - Optional:
{BASE_DIR}/team-goals.mdwith current team goals
Steps
1. Gather Context
Read the following files if they exist:
{BASE_DIR}/{YEAR}/{MONTH}/{DAY}.overall.md(today's activity summary){BASE_DIR}/{YEAR}/{MONTH}/{TODAY}.standup.md(what you planned to do today){BASE_DIR}/goals.md(your current goals and priorities){BASE_DIR}/team-goals.md(your team's current goals and priorities)
If the overall summary does not exist, note that and proceed with the available context.
2. Assess Goal Alignment
Using the gathered context, identify:
- Which of today's activities directly advanced a personal goal
- Which advanced a team goal
- Which were reactive (requests, interruptions, unplanned) vs. proactive
- Which activities were neither goal-aligned nor clearly necessary
3. Ask Reflective Questions
Ask the user the following questions. Ask all questions in a single message, numbered, so they can answer all at once:
- What were your top 3 priorities for today? Did you accomplish them?
- On a scale of 1-5, how reactive was today (1 = fully focused, 5 = entirely reactive/interrupted)?
- What single activity moved your most important goal forward today?
- Did any team member need your attention or unblock that you may have missed or deprioritized?
- What is the one thing you must do tomorrow that you did not do today?
4. Write the Review
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 · 119 lines · 26 tokens per session scan A 55800e9d2b7a
end-of-day-review is a skill published in the GitHub repository tomzx/agents (8 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 923 once invoked, about $0.0001 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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