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 agentmods add skills/qgolem/orc/orc-researchnpx skills add qGolem/orc --skill orc-researchgit clone --depth 1 https://github.com/qGolem/orcWrote 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/qgolem/orc/orc-research)<a href="https://agentmods.dev/skills/qgolem/orc/orc-research"><img src="https://agentmods.dev/badge/skills/qgolem/orc/orc-research.svg" alt="Measured on agentmods" 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 | $0.00012 | $0.02413 |
| Opus 5 | $0.00006 | $0.01207 |
| Sonnet 5 | $0.00002 | $0.00483 |
| Haiku 4.5 | $0.00001 | $0.00241 |
Grade B, and why
orc-research scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/plans/$ARGUMENTS/PROJECT.md 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Each researcher agent investigates one dimension (stack, features, architecture, pitfalls) and writes its findings directly to .claude/plans/$ARGUMENTS/research/. After all 4 complete, a synthesizer agent reads all files and produces SUMMARY.md.
Output: .claude/plans/$ARGUMENTS/research/ folder with 5 research documents.
Why parallel researchers:
- Fresh context per dimension (no token contamination)
- Agents write documents directly (no context transfer back to orchestrator)
- Faster execution (agents run simultaneously)
- Synthesizer sees all dimensions at once for cross-cutting insights
Prerequisites:
.claude/plans/$ARGUMENTS/PROJECT.mdshould exist (created by/orcor/zed)- PROJECT.md provides project name, description, and goals that inform research
This command can run:
- During
/orcflow (after PROJECT.md, before roadmap generation) - Standalone for any project that needs domain research
Step 1: Validate arguments and read PROJECT.md
If $ARGUMENTS is empty, ask the user for a slug:
AskUserQuestion:
header: "Slug"
question: "What slug should be used for the plan directory?"
options:
- label: "Enter slug"
description: "e.g., my-project, webapp-v2"
Read PROJECT.md to determine project context:
cat .claude/plans/$ARGUMENTS/PROJECT.md 2>/dev/null
If PROJECT.md doesn't exist, ask the user for project context:
AskUserQuestion:
header: "Context"
question: "No PROJECT.md found. What is this project about? (domain, goals, type of product)"
options:
- label: "Describe project"
description: "Provide a brief project description"
Determine milestone context:
- If no existing codebase or greenfield description -> Greenfield (building from scratch)
- If existing code or brownfield description -> Subsequent milestone (adding to existing app)
Step 2: Check existing research
ls -la .claude/plans/$ARGUMENTS/research/ 2>/dev/null && echo "has_research=true" || echo "has_research=false"
If research/ already exists:
AskUserQuestion:
header: "Existing"
question: ".claude/plans/$ARGUMENTS/research/ already exists. What should we do?"
options:
- label: "Refresh"
description: "Delete existing and re-research"
- label: "Skip"
description: "Use existing research as-is"
If "Refresh": Delete research/, continue to step 3 If "Skip": Exit workflow
If doesn't exist: Continue to step 3.
Step 3: Create directory and display progress
mkdir -p .claude/plans/$ARGUMENTS/research
Display spawning indicator:
Spawning 4 researchers in parallel...
-> Stack research
-> Features research
-> Architecture research
-> Pitfalls research
Step 4: Spawn 4 researcher agents
Spawn 4 parallel research agents using Task tool with subagent_type="orc:orc-project-researcher" and run_in_background=true.
Extract [domain] and [project description] from PROJECT.md.
Agent 1: Stack Research
Task(
subagent_type="orc:orc-project-researcher",
run_in_background=true,
description="Stack research",
prompt="You are a project researcher. Research the standard stack for [domain].
<research_type>
Project Research -- Stack dimension for [domain].
</research_type>
<milestone_context>
[greenfield OR subsequent]
</milestone_context>
<question>
What's the standard stack for [domain] in [current year]?
</question>
<files_to_read>
- .claude/plans/$ARGUMENTS/PROJECT.md (Project context and goals)
</files_to_read>
<downstream_consumer>
Your STACK.md feeds into roadmap creation. Be prescriptive:
- Specific libraries with versions
- Clear rationale for each choice
- What NOT to use and why
</downstream_consumer>
<quality_gate>
- [ ] Versions are current (verify with docs, not training data)
- [ ] Rationale explains WHY, not just WHAT
- [ ] Confidence levels assigned to each recommendation
</quality_gate>
<output>
Write to: .claude/plans/$ARGUMENTS/research/STACK.md
</output>
")
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.
- 5d ago First seen · 384 lines · 12 tokens per session scan B 0717c3608c23
orc-research is a skill published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 2,413 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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