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 tjqscott/dory --skill wrap-upgit clone --depth 1 https://github.com/tjqscott/doryWrote 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/tjqscott/dory/wrap-up)<a href="https://agentmods.dev/skills/tjqscott/dory/wrap-up"><img src="https://agentmods.dev/badge/skills/tjqscott/dory/wrap-up/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/tjqscott/dory/wrap-up"><img src="https://agentmods.dev/badge/skills/tjqscott/dory/wrap-up.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 | $0.00045 | $0.00229 |
| Opus 5.5 | $0.00018 | $0.00092 |
| Sonnet 5.5 | $0.00009 | $0.00046 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
wrap-up 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 17d 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.
What it actually says
Wrap up
- Harvest. Read this session's human turns first; they hold most of the decisions. Collect every decision and its reason, every correction, and every verdict. Pass each through the learn skill's filter and route it to its owning page.
- Taskboard. In
wiki/tickets.md, move finished items to## Donewith one line each (and the commit or PR). Fold a carried-out plan's findings into the pages it changed, then delete the plan. - Lint and refresh with
python <plugin>/code/scripts/wiki_tree.py wiki --write(the plugin root is two levels above this skill's base directory). It must report 0 problems. - Report the pages changed and the tickets moved. "This session produced nothing durable" is a valid result; don't manufacture pages.
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.
- 17d ago First seen · 12 lines · 45 tokens per session scan A 8be0be5edf90
wrap-up is a skill published in the GitHub repository tjqscott/dory (60 stars, last pushed 11d ago), licensed MIT. It adds 45 tokens to every session and 229 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-29.
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