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 tsai09495/matt-pocock-engineering --skill ask-mattgit clone --depth 1 https://github.com/tsai09495/matt-pocock-engineeringWrote 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/tsai09495/matt-pocock-engineering/ask-matt)<a href="https://agentmods.dev/skills/tsai09495/matt-pocock-engineering/ask-matt"><img src="https://agentmods.dev/badge/skills/tsai09495/matt-pocock-engineering/ask-matt/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/tsai09495/matt-pocock-engineering/ask-matt"><img src="https://agentmods.dev/badge/skills/tsai09495/matt-pocock-engineering/ask-matt.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 | $0.00041 | $0.00768 |
| Opus 5 | $0.00020 | $0.00384 |
| Sonnet 5 | $0.00008 | $0.00154 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
ask-matt 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 9d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask Matt
Choose the smallest workflow that materially reduces risk or rework. Read routing-policy.md as the source of truth and consult optional-enhancements.md only when a heavier capability has a concrete payoff.
Response contract
Return:
- one primary next skill or short flow;
- why it fits the user's present uncertainty and scope;
- what input or authorization it needs;
- at most one optional enhancement, only when clearly useful.
Do not dump the entire catalog. Do not run the recommended skill unless the user also asked to proceed.
Main delivery flow
For work that needs clarification:
grill-with-docs → optional prototype → to-spec → optional to-tickets → implement → code-review
Skip unnecessary phases:
- clear, single-session work can go directly to
implement; - an already-defined behavior can use
tdddirectly; - review-only requests go directly to
code-review; - a durable spec does not need tickets when one implementation context can hold the work.
On-ramps
- Unknown-cause, flaky, or performance bug →
diagnosing-bugs, then implementation and review after evidence identifies the fix. - Raw incoming issue or external PR →
triage; tickets produced byto-ticketsare already shaped and should not be triaged again. - Huge, foggy destination with dependent unknowns → recommend explicit
wayfinder. Do not recommend it for a merely large but already clear feature.
Supporting disciplines
researchfor a bounded evidence question, preferably using primary sources.prototypewhen a runnable artifact will answer a design question better than prose.domain-modelingwhen project language is the problem.codebase-designwhen module interfaces, depth, or seams are the problem.improve-codebase-architecturefor a survey of high-leverage structural opportunities.resolving-merge-conflictsfor an in-progress merge or rebase.handoffonly when context must travel to another task, directory or worktree, harness, collaborator, or mid-phase side fork.
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.
- 9d ago First seen · 63 lines · 41 tokens per session scan A 1de4c36838cf
ask-matt is a skill published in the GitHub repository tsai09495/matt-pocock-engineering (2 stars, last pushed 15d ago), licensed MIT. It adds 41 tokens to every session and 768 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 2026-08-31.
Other skills, from other repositories
watch
File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…
review
5-pass structured code review — correctness, security, performance, readability, consistency.
live-preview
Mid-build visual verification loop. Takes screenshots of components during construction, not just after. Catches visual regressions and invisible features before they compound. Requires Playwright or similar screenshot tool.
marshal
Meta-orchestrator that takes any direction — broad, specific, or vague — and autonomously chains skills and context into actionable work. Gathers context from codebase, docs, and memory. Only asks the user when it genuinely cannot proceed. Single-session orchestrator.
wiki
Markdown-first knowledge base where the LLM acts as librarian. Ingests raw sources, compiles and interlinks topic files, self-maintains an index. No vector DB or embeddings required -- uses LLM-native navigation over structured markdown up to 400K words.
stss
Reduce defensive disclaimers, stacked hedging, and self-protective narration in proposals and decision-facing writing. Use when the user asks to rewrite or audit a proposal, plan, research contribution, executive summary, or similar text for directness. Do not use for ordinary code work or unrelated prose.