Overview
A defensive, educational, harness-neutral library of 100 agentic tool-use skills for Cognitive Security and analytic tradecraft (Structured Analytic Techniques, source verification, deception detection, critical review), with configured structural adapters for Claude Code, Codex, and Hermes, with a registry, an AGEINT educational upstream, and machine-checkable conformance.
Overview source: Curated paper metadata.
Methods and contributions
Read the source for the full argument, qualifications, and evidence.
Findings and contributions
- The generated catalogue reports one hundred implemented skills across seven taxonomy groups, from Structured Analytic Techniques to Research and Synthesis Methods.
- The author describes a local quality gate, explicitly 'not a safety proof', that can show all 100 skills include group-aware defensive boundaries and skill-specific governance entries in the current repository state.
- The worked-example gate verifies exact 100-skill coverage; the examples are expected-answer shapes, not live model transcripts.
- The author states the evidence is local conformance only and does not establish operational effectiveness, adversary coverage, user outcomes, or superiority over other libraries.
- The deterministic gates do not show that a live runtime will select the same skill, use tools correctly, or answer well in the field.
Methods
- Plan/Build/Teach architecture: registry, definitions, skills tree, AGEINT — Separates a catalogue registry, canonical per-skill definitions, a harness-facing skills tree, and the AGEINT educational upstream.
- Harness-neutral skill contract over a closed set of eight tool verbs — Each skill may use only neutral verbs (read, search, write, exec, reason, web, delegate, ask), bound per harness through adapters.
- Deterministic rendering into Claude, Codex, and Hermes adapters — Renders each canonical definition into a spec, skill description, workflow, and one adapter per configured harness.
- Automated anti-boilerplate per-skill quality audit — Requires a skill-specific quality bundle and rejects generic or reused negative controls, rubrics, evidence and privacy entries.
- Evidence ladder: 28 scenario fixtures and per-skill worked examples — Checks curated safe and unsafe scenarios against the local router and verifies one reviewed worked example per skill.
Summary sources: Paper metadata and evidence · Extracted source text.
Document downloads
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- Friedman_2026_Cogsecskills_1a99a2e4.pdf PDF · 3.22 MiB · extracted-text source
Citation
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Catalog details and resources
Related works
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