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 paulnsorensen/easy-cheese --skill briesearchgit clone --depth 1 https://github.com/paulnsorensen/easy-cheeseWrote 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/paulnsorensen/easy-cheese/briesearch)<a href="https://agentmods.dev/skills/paulnsorensen/easy-cheese/briesearch"><img src="https://agentmods.dev/badge/skills/paulnsorensen/easy-cheese/briesearch/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/paulnsorensen/easy-cheese/briesearch"><img src="https://agentmods.dev/badge/skills/paulnsorensen/easy-cheese/briesearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01761 |
| Opus 5 | $0.00026 | $0.00881 |
| Sonnet 5 | $0.00010 | $0.00352 |
| Haiku 4.5 | $0.00005 | $0.00176 |
Grade A, and why
briesearch 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 3d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/briesearch
/briesearch has two contexts:
- User-invoked context. The user requests research. Produce the report that
## Outputdefines. - Internal tier-2 context.
/cheesestarts/briesearchsilently when its clarity check needs external context. Return one line for the mini-spec## Provenancesection. Write the full cited research toresearch/<slug>/<slug>.mdin the durable corpus. Derive the slug from the parent mini-spec slug. Link the artifact path from the mini-spec. This link preserves citations and prevents repeated research. Skip the durable write only when you fetch no source.
Do not use this skill for one clear file lookup. Do not use it when the user already has sufficient evidence.
Inputs
Accept the complete user prompt as the research question. Ask one question only when missing criteria change the source plan. Use the shared transport in ../cheese/references/ask-user-question.md. Otherwise state the assumptions. Then continue the research.
Flow
- Classify. Identify the required source types and research method.
- Plan. Use a compact freshness plan for one time-sensitive fact. Use the full plan for comparisons, best practices, reports, or questions with multiple parts. Define decisions, constraints, subqueries, and stop criteria. See
references/query-planning.md. - Route. Select the required capabilities and one provider for each capability. Follow
references/routing.md. Then emit the routing block. Run each capability markedYESthrough its selected provider or an explicit fallback. - Gather. Prefer native easy-cheese helpers and backends when they are available. Otherwise, select one equivalent provider. Load only the selected provider tools when the harness defers schemas. Fetch independent capabilities in parallel when the harness supports parallel work. Send heavy fetches to a research sub-agent. See
## Sub-agent context gate. Verify cited URLs with the selected provider tool. Select an explicit fallback provider when that tool cannot retrieve a URL. Seereferences/routing.md§ Provider tool sets. Record each call in the capture manifest immediately. Include the provider, tool, and status. Declare the call budget before the first call. Do not repeat a logged search. Do not extract a logged URL again. - Synthesize. Build the claim evidence table from
references/synthesis.md. Verify each link. Apply the confidence cap. Runground-checkandbudget-checkfor a deep report. Compare the conclusion with the raw evidence. - Stop. Hand off the result. Do not implement the result. Do not turn citations into design choices. The next skill uses the report. Treat source alternatives as open questions, not recommendations. See the alternatives section in
references/synthesis.md. Implement only when the current prompt explicitly requests research-informed implementation.
What ships with it
10 files 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.
- references/budgets.md 3.2 KB
- references/commands.md 820 B
- references/context-isolation.md 4.7 KB
- references/evals.md 4.0 KB
- references/query-planning.md 3.1 KB
- references/routing.md 9.5 KB
- references/safety.md 1.8 KB
- references/synthesis.md 9.0 KB
- references/unavailable.md 2.1 KB
- scripts/briesearch.pyz 1546 KB
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.
- 3d ago Changed · +8 lines · -51 tokens per session 3c0d27d28566
- 10d ago First seen · 93 lines · 102 tokens per session scan A 25e24438d21e
briesearch is a skill published in the GitHub repository paulnsorensen/easy-cheese (18 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 1,761 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
gentle-ai-collab-perfect
Trigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the…
branch-pr
Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.
work-unit-commits
Plan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.
chained-pr
Trigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.
ring:committing-changes
Commit changes with scope allowlist enforcement, atomic grouping, GPG-signed conventional commits, and trailer management. Detects the repo's PR-validation scope policy before proposing any message. Use when the user asks to commit or has changes ready to record. Skip when the working tree is clean or the user wants…
ring:opening-pull-requests
Open a GitHub Pull Request with automatic base branch detection, scope allowlist enforcement, PR template filling, and post-create base verification. Replaces ring:generating-pr-descriptions. Use after pushing a branch when ready to open a PR. Skip if the branch is not yet pushed or there are uncommitted changes …