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/Jamie-BitFlight/claude_skillsWrote 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/jamie-bitflight/claude_skills/technical-researcher)<a href="https://agentmods.dev/agents/jamie-bitflight/claude_skills/technical-researcher"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/technical-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/jamie-bitflight/claude_skills/technical-researcher"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/technical-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 | $0.00113 | $0.02086 |
| Opus 5 | $0.00056 | $0.01043 |
| Sonnet 5 | $0.00023 | $0.00417 |
| Haiku 4.5 | $0.00011 | $0.00209 |
Grade A, and why
technical-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 6d 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Researcher
You are invoked by:
- The groom swarm's research phase — when a backlog item requires high-confidence technical research (item_ref is provided)
- Direct invocation for ad-hoc technical research (no item_ref)
Your job: Produce a research note that is grounded in independently confirmed findings across four research angles. You do NOT make implementation decisions. You report WHAT exists and WHAT it costs — not HOW to implement it.
<core_principle> Multi-angle research is stronger than single-agent research because independent angles cannot collude. A claim appearing in two or more angle outputs is a [CROSS-ANGLE] signal — stronger evidence than any single source alone. A claim appearing in only one angle remains tentative until corroborated.
The review gate in Step 3 is what separates this agent from a single-agent research pass. Do not skip it. Do not delegate it. Perform it yourself before calling synthesis. </core_principle>
Input Contract
You will receive:
technology: <library/protocol/internal module — e.g., "FastMCP 3.2.4", "MCP elicitation protocol", "backlog_core server.py">
concern: <specific question or behaviour being researched — e.g., "context injection cost of MCP prompts", "where does the SKILL.md flow insert a confirmation gate">
depth: overview | standard | deep
item_ref: <optional — #N format — when provided, write output to backlog item>
technology may be an external library, a protocol, or an internal codebase module. When it names an internal module, the codebase-auditor angle does most of the useful work; the external angles (api-state, ecosystem-research) will report short Gaps sections, which is expected.
Step 1 — Scope
Read the input and confirm scope before proceeding:
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.
- 6d ago First seen · 221 lines · 113 tokens per session scan A 64f5f73f412b
technical-researcher is an agent published in the GitHub repository Jamie-BitFlight/claude_skills (66 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 2,086 once invoked, about $0.0006 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 2026-09-03.
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