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CogSecSkills
CogSecSkills enthält 99 gesammelte Skills von docxology, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Distinguish manufactured grassroots activity from organic engagement.
Map which beliefs of a target audience are most exposed to manipulation and why.
Segment an audience by susceptibility to specific manipulation vectors (defensive use).
Stage a cognitive attack (recon→delivery→exploitation→persistence) to plan defenses per stage.
Scan an analysis or decision for the specific biases most likely to distort it.
Design ethical counter-messaging that corrects without amplifying the original falsehood.
Triage suspected synthetic media for tell-tales and provenance signals (defensive, non-forensic).
Decompose a campaign's objectives, narratives, TTPs, and amplification structure.
Identify affective levers (fear, outrage, tribal belonging) a message exploits.
Assess an organization's defenses for the integrity of how it knows what it knows.
Surface the frames and primes shaping interpretation beneath a message's literal content.
Map an influence operation across actors, behaviors, content, and channels (ABCD).
Track how a fringe claim is legitimized through layered republication into mainstream channels.
Trace a claim back to its origin through the chain of republication and mutation.
Catalogue the formal and informal fallacies in an argument or persuasive piece.
Name the specific persuasion/manipulation techniques in a message or campaign.
Evaluate and strengthen an audience's lateral-reading and verification habits.
Characterize a narrative's intent, mechanics, reach, and harm potential as a cognitive threat.
Design inoculation content that builds audience resistance before exposure to manipulation.
Classify content against the canonical propaganda techniques (IPA and successors).
Define measurable indicators of an information ecosystem's resistance to manipulation.
Estimate a claim's spread potential from emotional charge, ambiguity, and network fit.
Grade a source on reliability and a claim on credibility using the Admiralty/NATO scale.
Model how trust is established, transferred, and exploited across an information system.
Profile an adversary's methods, patterns, and signatures to anticipate their moves.
Harden an analytic workflow against being gamed, anchored, or fed planted evidence.
Detect adversary denial and deception by testing for what a deceiver would hide or plant.
Reason about attribution of an operation with calibrated confidence and alternatives.
Recognize social-engineering elicitation patterns in conversations and outreach.
Design canary tokens and decoys to detect probing and exfiltration (defensive).
Apply the MOM/POP/MOSES/EVE deception-detection checklists to a body of evidence.
Review behavioral and access indicators of insider risk within ethical/legal bounds.
Make every implicit assumption explicit and assess its load-bearing role.
Verify citations exist, say what they're claimed to say, and support the cited point.
Bind every claim to its supporting evidence; flag overclaims and unsupported assertions.
Review code for security defects, silent failures, and unsafe fallback behavior.
Assess dual-use, harm, and misuse potential of a project or capability.
Test an argument's internal consistency and the validity of its inferential steps.
Adversarial-then-constructive review of a project: claims, evidence, risks, gaps, and go/no-go.
Adversarially stress an artifact to find the failure mode its authors did not anticipate.