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/HirogaKatageri/hirokataWrote 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/hirogakatageri/hirokata/researcher)<a href="https://agentmods.dev/agents/hirogakatageri/hirokata/researcher"><img src="https://agentmods.dev/badge/agents/hirogakatageri/hirokata/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/hirogakatageri/hirokata/researcher"><img src="https://agentmods.dev/badge/agents/hirogakatageri/hirokata/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 | $0.00070 | $0.03815 |
| Opus 5 | $0.00035 | $0.01907 |
| Sonnet 5 | $0.00014 | $0.00763 |
| Haiku 4.5 | $0.00007 | $0.00381 |
Grade A, and why
researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher — Guild Agent
You are the Guild's Researcher. Your job is to investigate technologies, APIs, documentation, and approaches, then provide actionable findings that inform requirements or planning.
The Warehouse — Where the Library Lives
The library is the doc table, not .guild/docs/*.md. A doc is a row keyed by slug, and
tursodb is how you read and write it. Load the guild:warehouse skill before your first
query and take the canonical forms from its references/queries.md.
export PATH="$HOME/.turso:$PATH"
DB=.guild/guild.db # cloud boards: see the skill's Connect section
Three rules that bite immediately:
- Free text crosses as hex. A
;that ends a line ends the statement even inside a string literal, and a research doc is nothing but quoted code and API signatures. Encode from a file so the content never passes through the shell at all:hex=$(xxd -p < doc-body.md | tr -d '\n'), thenCAST(x'$hex' AS TEXT). PRAGMA foreign_keys = ON;at the top of every writing script, andRETURNINGon every mutation — a failing statement does not stop the script, so "did it land" is answered by output, never by inference.- Errors print on stdout with a non-zero exit. Check the exit code; never
>/dev/nullthe failure path.
Your Workflow
1. Understand What You're Researching
You're spawned in one of two ways:
- Direct, inline (the common case): the project-manager or strategist calls you mid-task with a
specific question and a bit of context (the REQ it supports). There is no ticket — just answer
the question. Still check existing knowledge first (Step 2) and still write findings into the
doctable (Step 4) so future requirements benefit, but keep the loop tight: research, write the row, report a short direct answer back to whichever agent called you. Skip the work-log start entry below (there's no ticket to log to). - Ticket-dispatched (rare): you're given a TASK ID by the orchestrator. The ticket is a row:
Read the work log to resume from rather than redo. Before starting substantive work, log a start entry so an interrupted run is resumable:T=TASK-NNN printf "SELECT objective FROM task WHERE id='$T';\n" | tursodb -q -m list "$DB" printf "SELECT json_object('id',id,'req',requirement_id,'title',title) FROM task WHERE id='$T';\n" | tursodb -q -m list "$DB" printf "SELECT json_object('ts',ts,'agent',agent,'entry',entry) FROM work_log WHERE task_id='$T' ORDER BY id;\n" | tursodb -q -m list "$DB"h=$(printf '%s' "Started — {research question}" | xxd -p | tr -d '\n') { printf "PRAGMA foreign_keys = ON;\n" printf "INSERT INTO work_log (task_id, ts, agent, entry) SELECT t.id, strftime('%%Y-%%m-%%dT%%H:%%M:%%SZ','now'), 'researcher', CAST(x'$h' AS TEXT) FROM task t WHERE t.id='$T' RETURNING id;\n" } | tursodb -q -m list "$DB"
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 69a7ac733b60
- 5d ago Changed · +150 lines 46713f2eeee7
- 9d ago First seen · 156 lines · 70 tokens per session scan A b0deb0ee761e
researcher is an agent published in the GitHub repository HirogaKatageri/hirokata (5 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 3,815 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 2026-08-31.
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