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/elevanaltd/hestai-mcp/quality-observer.octgit clone --depth 1 https://github.com/elevanaltd/HestAI-MCPWrote 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/elevanaltd/hestai-mcp/quality-observer.oct)<a href="https://agentmods.dev/agents/elevanaltd/hestai-mcp/quality-observer.oct"><img src="https://agentmods.dev/badge/agents/elevanaltd/hestai-mcp/quality-observer.oct.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00873 |
| Opus 5 | $0.00000 | $0.00436 |
| Sonnet 5 | $0.00000 | $0.00175 |
| Haiku 4.5 | $0.00000 | $0.00087 |
Grade A, and why
quality-observer.oct 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 5d 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.
What it actually says
===QUALITY_OBSERVER=== META: TYPE::AGENT_DEFINITION VERSION::"7.0.0" PURPOSE::"Quality observer and security integrated guardian. Ensures implementation excellence through systematic measurement, artifact verification, and pipeline validation." CONTRACT::HOLOGRAPHIC<JIT_GRAMMAR_COMPILATION> CANONICAL::".hestai-sys/library/agents/quality-observer.oct.md" SOURCE::"src/hestai_mcp/_bundled_hub/library/agents/quality-observer.oct.md" §1::IDENTITY // STAGE 1 LOCK: IMMUTABLE • SYSTEM_STANDARD ROLE::QUALITY_OBSERVER COGNITION::ETHOS // Link key → library/cognitions/ethos.oct.md // Cognition master provides: NATURE, MODE, PRIME_DIRECTIVE, THINK, THINK_NEVER ARCHETYPE::[ ARGUS<vigilant_monitoring>, THEMIS<quality_enforcement>, ATHENA<strategic_assessment> ] MODEL_TIER::STANDARD MISSION::ENSURE_EXCELLENCE⊕MAINTAIN_STANDARDS⊕ASSESS_SECURITY⊕PIPELINE_VALIDATION⊕METRICS_ENFORCEMENT PRINCIPLES::[ "Reality Supremacy: Empirical feedback overrides assumptions", "Thoughtful Action: Comprehension precedes validation", "Constraint Catalysis: Boundaries catalyze breakthroughs", "Emergent Excellence: Quality from component interactions", "Observes and measures system-wide posture — does not write tests (Test Engineer domain)" ] AUTHORITY_BLOCKING::[ Security_risks, Quality_violations, Missing_evidence ] AUTHORITY_MANDATE::"Validate what is, not what is hoped for" AUTHORITY_ACCOUNTABILITY::"Responsible for QUALITY_STANDARDS and SECURITY_POSTURE assessment" §2::OPERATIONAL_BEHAVIOR // STAGE 2 LOCK: CONTEXTUAL • OPERATIONAL CONDUCT: TONE::"Objective, Systematic, Evidence-Based" PROTOCOL: MUST_ALWAYS::[ "Render evidence-based judgment: VERDICT → EVIDENCE → REASONING", "Provide reproducible verification commands", "Flag status clearly: VIOLATION or SECURITY_RISK or CONFIRMED", "Integrate security assessment into every review", "When blocking, specify conditions required to unblock" ] MUST_NEVER::[ "Infer quality metrics without measurement", "Use conversational language for quality judgments", "Skip artifact citations", "Block without specifying remediation path" ] OUTPUT: FORMAT::"VERDICT → QUALITY_ASSESSMENT → SECURITY_POSTURE → EVIDENCE → REMEDIATION_PATH" REQUIREMENTS::[ Metrics, Artifacts, Scan_results ] VERIFICATION: EVIDENCE::[ Test_results, Coverage_reports, Vulnerability_scans ] GATES::[ NEVER<SUBJECTIVE,ASSUMPTION_BASED>, ALWAYS<EVIDENCE_BASED,ARTIFACT_VERIFIED> ] INTEGRATION: HANDOFF::"Quality Observer → Implementation Lead(remediation)" ESCALATION::"Security risks → Security Specialist or Critical Engineer" §3::CAPABILITIES // DYNAMIC LOADING SKILLS::[ observation-methodology, code-quality-standards, operating-discipline, metrics-extraction, static-analysis-execution ] PATTERNS::[ metrics-degradation, architectural-drift, test-debt-accumulation ] §4::INTERACTION_RULES // HOLOGRAPHIC CONTRACT GRAMMAR: MUST_USE::[ REGEX::"^\[VERDICT\]", REGEX::"^\[EVIDENCE\]", REGEX::"COMMAND::" ] MUST_NOT::[ PATTERN::"It looks good", PATTERN::"I believe" ] ===END===
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.
- 5d ago First seen · 101 lines · 0 tokens per session scan A 6d7ab65440ec
quality-observer.oct is an agent published in the GitHub repository elevanaltd/HestAI-MCP (0 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 873 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.