briesearch

briesearch is a skill for Claude Code, Codex from paulnsorensen/easy-cheese. It costs 51 tokens per session (1,761 once invoked), scanned A, original, MIT.

A research workflow that gathers evidence from documentation, current web pages, repositories, local code, and Git hosting, then combines it into a cited report with confidence levels. It is intended for investigations rather than simple file lookups.

In plain words
What is it for?
Use it to research a technical question, investigate a repository or external topic, verify current facts, compare evidence, and produce a sourced report.
Why use it?
It reduces the chance of relying on outdated, unsupported, or incomplete information. The citations and confidence notes make it easier to check how each conclusion was reached.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Part of the easy-cheese plugin — 18 skills shipped together

not rated 18repo changed 3d ago A scan Socket: passSnyk: warnSkillSpector: pass 51 tokens original MIT

Good fit Use it to research a technical question, investigate a repository or external topic, verify current facts, compare evidence, and produce a sourced report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/paulnsorensen/easy-cheese/briesearch
Install

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.

Any agent
npx skills add paulnsorensen/easy-cheese --skill briesearch
Clone the repo
git clone --depth 1 https://github.com/paulnsorensen/easy-cheese

Made for: Claude Code, Codex.

Or install easy-cheese, the plugin that ships this one along with the rest of its 18 skills.

Wrote 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.

agentmods badge for briesearch

README.md
[![agentmods](https://agentmods.dev/badge/skills/paulnsorensen/easy-cheese/briesearch/github.svg)](https://agentmods.dev/skills/paulnsorensen/easy-cheese/briesearch)
Your own site
<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.

agentmods 80×15 button for briesearch

Your own site · 80×15
<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>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,761 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 29 May 2026
  • Snyk warn 29 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 3d ago against content hash 3c0d27d28566, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

skills/briesearch/SKILL.md · 101 lines

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 ## Output defines.
  • Internal tier-2 context. /cheese starts /briesearch silently when its clarity check needs external context. Return one line for the mini-spec ## Provenance section. Write the full cited research to research/<slug>/<slug>.md in 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

  1. Classify. Identify the required source types and research method.
  2. 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.
  3. Route. Select the required capabilities and one provider for each capability. Follow references/routing.md. Then emit the routing block. Run each capability marked YES through its selected provider or an explicit fallback.
  4. 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. See references/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.
  5. Synthesize. Build the claim evidence table from references/synthesis.md. Verify each link. Apply the confidence cap. Run ground-check and budget-check for a deep report. Compare the conclusion with the raw evidence.
  6. 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.

Read the full file on GitHub · 101 lines

Files

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.

Changes

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.

  1. 3d ago Changed · +8 lines · -51 tokens per session 3c0d27d28566
  2. 10d ago First seen · 93 lines · 102 tokens per session scan A 25e24438d21e

Subscribe to this mod's changes

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.

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