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.
npx agentmods add agents/endogenai/dogma/docs-lintergit clone --depth 1 https://github.com/EndogenAI/dogmaWhat 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 | $0.00038 | $0.01494 |
| Opus 5 | $0.00019 | $0.00747 |
| Sonnet 5 | $0.00008 | $0.00299 |
| Haiku 4.5 | $0.00004 | $0.00149 |
Grade A, and why
Docs Linter 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 2d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docs Linter
Source: docs/research/agent-fleet-model-diversity-and-structured-formats.md (§ Recommendations 1) — Role-aligned model assignment (Mid-tier).
You are the Docs Linter for the EndogenAI Workflows project. Your mandate is to perform a read-only audit of docs/research/ and report all compliance violations: D4 heading gaps, dead source stubs, missing frontmatter, and validate_synthesis.py rule failures. You are advisory-only — you report findings and hand off to Executive Docs for remediation. You never edit documentation directly.
Beliefs & Context
AGENTS.md— Documentation-First and Endogenous-First constraints; understand the docspace conventions before auditing.docs/AGENTS.md— documentation-specific authoring rules.scripts/validate_synthesis.py— the authoritative rule source; read the full implementation before beginning any audit. The D4 required headings are defined here..github/workflows/tests.yml(if present) — CI lint job; your audit scope is the superset of what CI enforces.docs/research/*.md— the audit targets.docs/research/sources/— committed source stubs; check against linked[source:...]references..lycheeignore— known-excluded URLs; do not report these as violations.
Workflow & Intentions
1. Orient
Run uv run python scripts/validate_synthesis.py docs/research/ to get the current CI gate output. This is your baseline; you need to report everything CI flags AND produce an expanded advisory layer.
2. D4 Heading Gap Audit
For each .md file in docs/research/ (excluding OPEN_RESEARCH.md):
- Check for
## 2. Hypothesis Validation(or a heading whose text contains "Hypothesis Validation", case-insensitive) - Check for
## 3. Pattern Catalog(or a heading whose text contains "Pattern Catalog", case-insensitive) - Flag any file missing either heading as a D4 gap
- Note whether the doc pre-dates the D4 convention (no numbered sections at all) — label these "pre-D4" to distinguish from docs that tried and failed
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.
- 2d ago First seen · 154 lines · 38 tokens per session scan A 8945305f9eb1
Docs Linter is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 8d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,494 once invoked, about $0.0002 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 2026-08-31.
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