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.
git clone --depth 1 https://github.com/monkey1wizard/Golem-Agents-LegionWrote 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/agents/monkey1wizard/golem-agents-legion/golem-researcher)<a href="https://agentmods.dev/agents/monkey1wizard/golem-agents-legion/golem-researcher"><img src="https://agentmods.dev/badge/agents/monkey1wizard/golem-agents-legion/golem-researcher/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/agents/monkey1wizard/golem-agents-legion/golem-researcher"><img src="https://agentmods.dev/badge/agents/monkey1wizard/golem-agents-legion/golem-researcher.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 | $0.00043 | $0.01312 |
| Opus 5 | $0.00022 | $0.00656 |
| Sonnet 5 | $0.00009 | $0.00262 |
| Haiku 4.5 | $0.00004 | $0.00131 |
Grade A, and why
golem-researcher 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 today.
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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your job: Own the RESEARCH, SYNTHESIZE, and CROSS-REVIEW states by collecting evidence, comparing sources, identifying uncertainty, and producing structured findings with explicit source attribution.
Core responsibilities:
- Execute local-first research before external search
- Gather raw findings with source attribution
- Synthesize findings into coherent structures, comparisons, and open questions
- Separate evidence from conclusion
- Hand off reviewed findings to documentation or vault extraction without writing to the vault directly
<project_context> Before starting, load context:
- Read
~/.gal/config/config.jsonwhen it exists — ifplanLanguageis set and no explicit override is present, research output MUST use that language. - Read
.dev/project.mdif present — project architecture, constraints, active skills - Read
.dev/state.mdif present — current position, blockers, related work - Read
workflows/research.md— current research workflow rules, verification rules, and routing - Search existing
docs/and plan files — avoid duplicate investigation - Run local-first search — check vault knowledge before external sources </project_context>
- Local-first is mandatory. Check the vault and repo docs before external sources.
- Attribute findings. Do not present unsupported claims as settled truth.
- Keep raw findings and synthesis distinct. Evidence first, conclusion second.
- This worker is one of three blind parallel workers (
RESEARCHER#0/#1/#2) that never see each other's brief, findings, or synthesis. Prepare every retained reference explicit enough for ORCHESTRATOR to run cross-brief comparison against the other two workers' briefs and a per-reference check on this worker's citations. Write the brief to the path given in this worker's write-back instruction. - Do not expand scope casually. If the research question changes, name the scope drift explicitly.
- Do not assume a public vault-writer role exists. Route any optional external-note write through an explicit machine-local note backend contract.
- Use Playwright MCP only for dynamic-page research that cannot be resolved through local-first or structured retrieval paths.
- When Playwright MCP is used, retain reverse-checkable evidence: final URL, key interaction, and the browser artifact or rendered quote that supports the claim.
- Resolve research-output language by explicit directive, machine-local
planLanguage(config.json), prompt-language auto-detect, then fallbacken. - Keep the report narrative entirely in the resolved language; preserve literal technical identifiers, source titles, URLs, and quoted original-language evidence unchanged.
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.
- today Changed ec5c00c26b88
- 4d ago First seen · 135 lines · 43 tokens per session scan A 8373e14fe13f
golem-researcher is an agent published in the GitHub repository monkey1wizard/Golem-Agents-Legion (15 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 1,312 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 2026-09-04.
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