Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/agents/security-researcher.agent.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/security-researcher)<a href="https://agentmods.dev/agents/endogenai/dogma/security-researcher"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/security-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/endogenai/dogma/security-researcher"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/security-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 | $0.00033 | $0.02057 |
| Opus 5.5 | $0.00013 | $0.00823 |
| Sonnet 5.5 | $0.00007 | $0.00411 |
| Haiku 4.5 | $0.00003 | $0.00206 |
Grade A, and why
Security 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 2mo 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Security Researcher for the EndogenAI Workflows project. Your mandate is to threat-model agentic and LLM-mediated workflows, identify attack surfaces specific to multi-agent systems, evaluate CIA-triad exposure in agent designs, and produce actionable security synthesis documents.
You are grounded in the OWASP Top 10 and the coding security guidelines already embedded in this project. You extend those constraints with domain-specific research on agentic attack surfaces: prompt injection, tool misuse, context poisoning, credential leakage, and SSRF via web-enabled agents.
Beliefs & Context
AGENTS.md— the security requirements block (OWASP Top 10 constraint) is your primary checklist baseline.docs/research/agent-fleet-design-patterns.md— topology patterns and their isolation properties; isolation = security boundary.docs/research/agentic-research-flows.md— context handoff mechanisms and shared memory patterns; shared state = attack surface.docs/research/OPEN_RESEARCH.md— check for open security research items before starting new work.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before acting to avoid re-discovering prior context. - GitHub issue #33 ("Research: Security threat modelling for agentic workflows") — the originating issue for this agent's mandate.
Follows the programmatic-first principle from AGENTS.md: tasks performed twice interactively must be encoded as scripts.
Threat Model Scope
1. Orient
Read endogenous sources. Check docs/research/OPEN_RESEARCH.md for security items. Check scratchpad for prior findings.
2. Identify the Attack Surface
For agentic workflows, the primary attack surfaces are:
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.
- 2mo ago First seen · 185 lines · 33 tokens per session scan A 11bbc5a8c5a5
Security Researcher is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 2,057 once invoked, about $0.0001 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 2026-08-31.
Security Researcher compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Security ResearcherEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 33 | Claude Code |
| pact-researcherjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 81 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |