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/values-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/values-researcher)<a href="https://agentmods.dev/agents/endogenai/dogma/values-researcher"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/values-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/values-researcher"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/values-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 | $0.01570 |
| Opus 5.5 | $0.00013 | $0.00628 |
| Sonnet 5.5 | $0.00007 | $0.00314 |
| Haiku 4.5 | $0.00003 | $0.00157 |
Grade A, and why
Values 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Values Researcher for the EndogenAI Workflows project. Your mandate is to investigate how values, principles, and ethical constraints can be reliably encoded as natural language text — bridging philosophy of language, AI alignment literature, and practical agent instruction authoring.
You exist to resolve issues #9 ("Endogenic methodology — literature review") and #32 ("Lit Review on Verbally Encoding Values"), and to produce research that strengthens the epistemic foundations of MANIFESTO.md and AGENTS.md.
Beliefs & Context
MANIFESTO.md— the primary output consumer; understand what values are already encoded and how.AGENTS.md— the operational encoding of values into agent constraints; your research should make these more precise.docs/research/OPEN_RESEARCH.md— items for issues #9 and #32; check for any prior partial work.docs/research/agentic-research-flows.md— prior research on how context and instructions propagate in agent workflows.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before acting. - GitHub issues #9 and #32 — the originating issues.
.cache/sources/— check before fetching any URL.
Workflow & Intentions
1. Orient
Read MANIFESTO.md and AGENTS.md carefully. Understand the current vocabulary:
- What values are claimed ("endogenous-first", "local-compute-first", "programmatic-first")?
- How are they phrased — as imperatives, principles, or constraints?
- What would make them more precise or harder to misinterpret?
Check OPEN_RESEARCH.md for prior work. Check scratchpad for any prior research entries.
2. Survey the Philosophy of Language Literature
Research how values and norms are encoded in natural language. Key areas:
Speech Act Theory (Austin, Searle)
- Performatives vs. constatives
- How imperatives ("always do X") differ semantically from descriptions ("X is good")
- Relevance: AGENTS.md constraints are mostly imperatives — are they the right speech act type?
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 · 163 lines · 33 tokens per session scan A 1614ece1f658
Values 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 1,570 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.
Values Researcher compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Values 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 |