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 heyAyushh/stacc --skill what-did-i-get-donegit clone --depth 1 https://github.com/heyAyushh/staccWrote 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/heyayushh/stacc/what-did-i-get-done)<a href="https://agentmods.dev/skills/heyayushh/stacc/what-did-i-get-done"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/what-did-i-get-done/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/heyayushh/stacc/what-did-i-get-done"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/what-did-i-get-done.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 | $0.00024 | $0.00226 |
| Opus 5 | $0.00012 | $0.00113 |
| Sonnet 5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
what-did-i-get-done 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 11d 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.
This is a copy
94% identical to what-did-i-get-done — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
What did I get done
Trigger
Need a short, high-signal summary of work completed in a specific time range (for example: yesterday, last 3 days, or last week).
Workflow
- Resolve the requested time window into concrete dates.
- Read commits authored by the current git user email within that range.
- Exclude merge commits and uncommitted changes.
- Synthesize the most important shipped changes into a concise status update.
- Include the actual date range used in the final summary.
Guardrails
- Be extremely concise and information-dense.
- Prioritize substantial behavior or architecture changes.
- Omit cosmetic-only changes (formatting, imports, minor renames).
- Do not infer intent or motivation. Describe changes functionally.
Output
- One short summary suitable for a status update
- Real date range
- Optional 2-5 bullets for major changes only
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.
- 11d ago First seen · 33 lines · 24 tokens per session scan A ebb15bff4b81
what-did-i-get-done is a skill published in the GitHub repository heyAyushh/stacc (3 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 226 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to what-did-i-get-done, differing in 1 line, and is treated as a copy.
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