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/harnessprotocol/harness-kit/researchnpx skills add harnessprotocol/harness-kit --skill researchgit clone --depth 1 https://github.com/harnessprotocol/harness-kitWhat 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 | $0.00074 | $0.04707 |
| Opus 5 | $0.00037 | $0.02354 |
| Sonnet 5 | $0.00015 | $0.00941 |
| Haiku 4.5 | $0.00007 | $0.00471 |
Grade C, and why
research scanned grade C 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 2d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
grep -n "<!--" fetched-content.txt # Scan for zero-width characters (invisible everywhere) grep -Pn "[\x{200B}\x{FEFF}\x{00AD}\x{200C}\x{200D}]" fetched-content.txt ``` **If suspicious content found**, classify it: - Doe How it starts
The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Material Processing
Overview
Process research materials using raw source preservation + synthesis: raw sources in resources/ (always), synthesized analysis in research/[category]/.
Core principles:
- Raw content preservation is NON-NEGOTIABLE. Enables verification, re-processing, and future RAG indexing.
- One synthesis per topic. If you've already researched something about the same subject, update the existing synthesis rather than creating a parallel one. Multiple raw sources feed one synthesis document.
When to Use
User types /research: followed by:
- One or more sources (comma-separated) → Extract and synthesize each
- File path → Copy and synthesize
- Empty → Audit for unsynthesized materials, then organize
Accepted source types (the medium doesn't matter — process them all):
| Medium | Examples |
|---|---|
| GitHub repository | github.com/owner/repo |
| Documentation page | docs.temporal.io, readthedocs.io, /docs/ paths |
| Product/marketing site | company homepages, feature pages |
| Academic paper | arxiv.org, PDF URLs, DOIs |
| Blog post / article | dev.to, Substack, Medium, personal sites |
| Reddit post or thread | reddit.com links |
| YouTube video | youtube.com, youtu.be — WebFetch gets description + available transcript |
| Podcast episode | Podcast page, show notes URL — audio not extractable, but show notes + transcript links are |
| Local file | Any path: PDF, markdown, text, code |
Model recommendation: Use Sonnet for reliable workflow compliance. Haiku may skip raw content preservation. If using Haiku: "follow the research skill workflow and show me each step."
Batch Mode
Multiple inputs are supported:
/research: https://url1.com, https://url2.com, /path/to/file.pdf
Detect commas or newlines. Process each input sequentially through the full workflow (Steps 0–8).
Workflow Order (MANDATORY)
You MUST follow this order. No skipping steps.
What ships with it
4 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.
- 2d ago First seen · 431 lines · 74 tokens per session scan C e7aca1199144
research is a skill published in the GitHub repository harnessprotocol/harness-kit (10 stars, last pushed 3d ago), licensed Apache-2.0. It adds 74 tokens to every session and 4,707 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
studio
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epd-to-spec
Write CSI specification language for EPD submittals and sourced GWP limits. Use to add embodied-carbon or EPD requirements to specs; not to parse, find, or compare EPDs.
occupancy-calculator
Calculate code occupant loads by area with gross/net factors and jurisdiction checks. Use for "how many people can this space hold," IBC Table 1004.5, egress inputs, or occupancy-load reports; not for workplace headcount planning.
zoning-analysis-nyc
Analyze NYC lot zoning, FAR, height, setbacks, uses, and buildable envelope from PLUTO and the Zoning Resolution. Use for "what can I build"; use nyc-bsa for relief and zoning-envelope for 3D visualization.
workplace-programmer
Build office space programs through guided workplace strategy: area splits, room schedules, and planned seat counts. Use to program or size a workplace; not for code occupant-load calculations.
workplan
Create a durable, execution-ready work plan for repository changes, operations, research, or AEC project delivery. Use when the user asks to plan, scope, sequence, coordinate, or break down multi-step work before acting. Do not use for floor plans, site plans, space planning, zoning calculations, building-code…