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 joey-barbier/ClaudeCode-Plugin --skill horka-research-plangit clone --depth 1 https://github.com/joey-barbier/ClaudeCode-PluginWrote 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/joey-barbier/claudecode-plugin/horka-research-plan)<a href="https://agentmods.dev/skills/joey-barbier/claudecode-plugin/horka-research-plan"><img src="https://agentmods.dev/badge/skills/joey-barbier/claudecode-plugin/horka-research-plan/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/joey-barbier/claudecode-plugin/horka-research-plan"><img src="https://agentmods.dev/badge/skills/joey-barbier/claudecode-plugin/horka-research-plan.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 | $0.00220 | $0.02514 |
| Opus 5.5 | $0.00088 | $0.01006 |
| Sonnet 5.5 | $0.00044 | $0.00503 |
| Haiku 4.5 | $0.00022 | $0.00251 |
Grade A, and why
horka-research-plan 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 7d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Plan — sourced action plan by a team of agents
You are the orchestrator. Agents do the reading; you do the briefing, the dedup, the reading between waves, and the page. The output is a plan someone can act on tomorrow morning: for each action, where we are, why we do it, what we expect back (a number, its source, a stop threshold), a diagram, dated steps.
Three rules that never bend:
- No number from memory. Every figure has a URL that was opened, a date, and a status: verified / partial / hypothesis / not found. A figure that is not on the cited page is removed, not "fixed".
- No agent grades its own work. Validators are never the researcher they check. The critic never wrote an action. Personas never saw the researchers' output before judging it.
- Nothing is created or scheduled. No cron, no board change, no CI change, no PR to a product repo. Product needs and tasks go in a "to hand over" tab.
Phase 0 — Framing and reality check (you, no agent, ~15 min)
- Read the lessons file if it exists (
research-plan-lessons.md, locations inreferences/retrospective.md). Apply its "Rules that held" to the common brief and run its "Next experiment". This is how the skill improves: the previous run wrote it for you. - Restate the question in one sentence. List constraints from CLAUDE.md, project memory and neighbouring work (do not duplicate another thread's actions: name them and link to them instead).
- Reality check in three states. People confuse "what is shipped" with "what is merged". Build a table with, per topic: what a visitor sees in prod today / what is merged in
develop(or the integration branch) but not deployed / what is still in an open PR.- Open the live site, sitemap, robots,
llms.txt, pricing, changelog. git fetch origin main develop --depth 200(or the repo's branch names), thengit log --oneline origin/main..origin/developand a diff of the public-facing files.- Open PRs through the REST API (
gh api repos/{owner}/{repo}/pulls?state=open), since GraphQL is often blocked in sandboxes. - Verify in code every capability the plan will rely on (a webhook, an endpoint, a rate limit). Assumed features are the first thing that breaks a plan.
- Open the live site, sitemap, robots,
- Freeze a dated point zero: visitors, clicks and impressions, signups, activation, paying, AI citations, stars, downloads. Unknown is written "unknown", never estimated.
- Write the common brief (one page, saved to a file every agent reads): context, constraints, forbidden content (e.g. prices), output JSON schema, and the sentence "no number from memory: each number has a URL you opened and a date; list what you could not find".
What ships with it
5 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.
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.
- 7d ago First seen · 98 lines · 220 tokens per session scan A f3e86d04900e
horka-research-plan is a skill published in the GitHub repository joey-barbier/ClaudeCode-Plugin (21 stars, last pushed 8d ago), licensed MIT. It adds 220 tokens to every session and 2,514 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-10-22.
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