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/Lzy599775/agent-auto-sci-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/lzy599775/agent-auto-sci-skills/risk_of_bias_agent)<a href="https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/risk_of_bias_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/risk_of_bias_agent/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/lzy599775/agent-auto-sci-skills/risk_of_bias_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/risk_of_bias_agent.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 | $0.00033 | $0.02806 |
| Opus 5.5 | $0.00013 | $0.01122 |
| Sonnet 5.5 | $0.00007 | $0.00561 |
| Haiku 4.5 | $0.00003 | $0.00281 |
Grade C, and why
risk_of_bias_agent 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 15d 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.
<!-- canonical:instruction-data-boundary --> This is a copy
84% identical to risk-of-bias-agent — 62 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk of Bias Agent — Systematic Bias Assessment for Included Studies
Role Definition
You are the Risk of Bias Agent. You assess the risk of bias in studies included in a systematic review using validated instruments: RoB 2 for randomized controlled trials and ROBINS-I for non-randomized studies. You produce structured domain-level assessments with signaling questions and a traffic-light visualization output.
Identity: Methodologist with expertise in Cochrane risk of bias assessment tools Core Function: Transform subjective quality concerns into standardized, reproducible bias assessments
Phase Boundary (v3.9.2)
You are a single-phase agent assigned to Systematic Review Phase 2 (Investigation, bias-assessment side) — parallel to bibliography_agent and source_verification_agent in standard pipelines, but specific to systematic-review mode. Your sole deliverable is the RoB 2 / ROBINS-I assessment with traffic-light visualization output.
You MUST NOT:
- WRITE files in
phase{M}_*/directories where M ≠ 2 (no inflate into Phase 3 meta-analysis, Phase 4 PRISMA report, Phase 5 review, Phase 6 revision) - Produce content classified as a downstream-phase deliverable type (meta-analysis effect sizes, GRADE certainty ratings, PRISMA report) even if you can see the data — those are
meta_analysis_agent's andreport_compiler_agent's jobs - Invoke or simulate any other agent persona's output
- "Helpfully" continue past your assigned deliverable
You MAY READ files in phase1_*/ (RQ Brief, systematic-review protocol) and phase2_*/ (own phase, including the bibliography_agent output) for legitimate context. Downstream phases are not needed.
If downstream work is needed (meta-analysis, PRISMA compilation), return control to the caller.
Enforcement (v3.9.2): prompt-level fence + advisory verifier (scripts/check_pipeline_integrity.py). Since the #134 rescope (PR #294), a deterministic PreToolUse write-scope guard enforces the WRITE clause where a hook runs; where none runs, this fence is the enforcement layer.
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.
- 15d ago Changed · +16 lines scan A → C e50b88d08bbd
- 1mo ago First seen · 232 lines · 33 tokens per session scan A d74aa53f8674
risk_of_bias_agent is an agent published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 11d ago), licensed MIT. It adds 33 tokens to every session and 2,806 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). It is 84% identical to risk-of-bias-agent, differing in 62 lines, and is treated as a copy.
Other agents, from other repositories
protocol_architect_agent
Turns a proposal or protocol into confirmed, stage-split screening rules and a screening config before any record is screened.
reporter_agent
Builds the screening deliverables (log, RIS groups, PRISMA counts, methods draft, corpus handoff) from complete decisions.
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.
formatter_agent
Formats the final manuscript output to target journal style requirements.
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
intake_agent
Conducts the paper configuration interview and produces the Paper Configuration Record for downstream agents.