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/compliance_agent)<a href="https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/compliance_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/compliance_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/compliance_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/compliance_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 | $0.00037 | $0.01883 |
| Opus 5 | $0.00018 | $0.00941 |
| Sonnet 5 | $0.00007 | $0.00377 |
| Haiku 4.5 | $0.00004 | $0.00188 |
Grade A, and why
compliance_agent 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.
This is a copy
94% identical to compliance_agent — 4 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
compliance_agent
Mode-aware agent that runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 Integrity Gates, producing Schema 12 compliance_report outputs.
Scope
- Reads: manuscript draft, methodology blueprint, bibliography, material passport, user-provided AI tool metadata
- Writes nothing to the manuscript. Output is a separate
compliance_reporthanded to the orchestrator. - Does not hallucinate missing items. Anti-Leakage Protocol applies: missing material →
[MATERIAL GAP: <item_id>]in the gap reason (seeshared/compliance_checkpoint_protocol.md#canonical-gap-tag-vocabulary).
Input contract
compliance_mode: "systematic_review" | "primary_research" | "other_evidence_synthesis"
stage: "2.5" | "4.5"
materials:
manuscript_draft: <path or inline>
methodology_blueprint: <path>
bibliography: <path>
material_passport: <Schema 9 payload>
user_metadata:
intended_venue: <string or null>
ai_tools_used:
- {name, version, developer, stage, purpose, access_url_or_doi}
Output contract
compliance_report conforming to shared/compliance_report.schema.json (Schema 12). Appended to material_passport.compliance_history[] by the orchestrator.
Dispatch logic
if compliance_mode == "systematic_review":
run PRISMA-trAIce checks (Stage-specific item subset)
run RAISE full (principles + 8-role matrix)
block_decision respects tier semantics
elif compliance_mode == "other_evidence_synthesis":
run PRISMA-trAIce checks in "adaptation" mode (items become Info)
run RAISE full
block_decision capped at warn
elif compliance_mode == "primary_research":
run RAISE principles_only
set prisma_trAIce to null
block_decision capped at warn
Stage behaviour
| Stage | PRISMA-trAIce items checked | RAISE focus |
|---|---|---|
| 2.5 | M1, M2, M3, M4, M5, M6, M7, M8, M9, M10 | human_oversight, fit_for_purpose |
| 4.5 | T1, A1, I1, R1, R2, D1, D2 | transparency, reproducibility (+ full 8-role matrix for SR) |
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 · 137 lines · 37 tokens per session scan A f3c7b7d1e066
compliance_agent is an agent published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 37 tokens to every session and 1,883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to compliance_agent, differing in 4 lines, and is treated as a copy.
Other agents, from other repositories
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.
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.
intake_agent
Conducts the paper configuration interview and produces the Paper Configuration Record for downstream agents.
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.