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 learngit 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/learn)<a href="https://agentmods.dev/skills/tjqscott/dory/learn"><img src="https://agentmods.dev/badge/skills/tjqscott/dory/learn/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/learn"><img src="https://agentmods.dev/badge/skills/tjqscott/dory/learn.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 | $0.00054 | $0.00261 |
| Opus 5.5 | $0.00022 | $0.00104 |
| Sonnet 5.5 | $0.00011 | $0.00052 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
learn 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
Learn
- Filter. Keep it only if it will matter in the next 10 sessions and a stranger could act on it without this session. Otherwise drop it and say so in one line.
- Find the owner. Read
wiki/index.md. A decision is a row indecisions.md. A hypothesis and its verdict is a row intried.md. Anything else goes on the page whose subject it is. - Edit in place. Replace the sentence or row it contradicts, keeping one line on what overturned the old claim. Create a new page only when no page owns the subject, and link it from its parent in the same edit. Follow AGENTS.md III and V.
- Lint with
python <plugin>/code/scripts/wiki_tree.py wiki(the plugin root is two levels above this skill's base directory). It must report 0 problems. - Report the change in one line.
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 · 13 lines · 54 tokens per session scan A d250aed05f16
learn is a skill published in the GitHub repository tjqscott/dory (60 stars, last pushed 11d ago), licensed MIT. It adds 54 tokens to every session and 261 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.
Other skills, from other repositories
team-pm
PM (Project Manager / Scrum Master) agent. Reads BA and TechLead artifacts and produces sprint plan, task breakdown, and story point estimates. Creates one TodoWrite entry per sprint task for live pipeline tracking (FR-42). Part of the Virtual Team Skill pipeline.
team-list
Utility skill. Lists all projects under the projects/ directory and shows which Virtual Team pipeline phases have been completed for each project.
portfolio-manager
Plan this week's budget split between projects from the portfolio snapshot and priorities.md, then report it to the operator.
portfolio-fixture
The zero-judgement test of the portfolio flow. Copies a fixed plan to the outbox and reports it.
ax-extract-workflow
Reconstructs the workflow behind a shipped artifact from ax session evidence, commits, and PR context. Use when asking what made a feature, fix, demo, or PR work, or when turning a past success into a repeatable recipe.
himalayas-employer
AI hiring assistant for Himalayas. Post remote jobs, manage company profiles, source talent, message candidates, and benchmark salaries using the Himalayas MCP server.