Eliyce/paqad-ai

Spec-driven development framework — AI agents that think before they type

This repository also configures its own agents. See what paqad-ai tells them →

8Stars on the repository
98Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

content-reviewer

73

Eliyce/paqad-ai

Skill Claude CodeCodex

Review drafts for clarity, structure, evidence quality, and reader usefulness against the project's writing rules. Use when a draft needs a structured review pass before publishing.

not rated 8 yesterday A 35 tokens original MIT

content-writer

74

Eliyce/paqad-ai

Skill Claude CodeCodex

Produce reader-ready drafts for docs, briefs, landing pages, and internal writing deliverables, starting from a brief and ending in style-compliant prose. Use when an approved brief needs to become a publishable draft.

not rated 8 yesterday A 47 tokens original MIT

script-writer

75

Eliyce/paqad-ai

Skill Claude CodeCodex

Write concise spoken-word scripts and narrative sequences optimized for pacing, transitions, and spoken clarity. Use when the deliverable will be performed aloud (video, podcast, demo).

not rated 8 yesterday A 38 tokens original MIT

seo-optimizer

76

Eliyce/paqad-ai

Skill Claude CodeCodex

Revise drafts for search visibility — keyword placement, heading hierarchy, meta fields, internal links — without sacrificing readability. Use after the draft is reader-ready and before publishing.

not rated 8 yesterday A 38 tokens original MIT

style-enforcer

77

Eliyce/paqad-ai

Skill Claude CodeCodex

Normalize drafts to the project's explicit writing style and formatting rules at docs/instructions/rules/writing-style.md. Use as the last pass before publish.

not rated 8 yesterday A 34 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Reason about authentication weaknesses including JWT vulnerabilities, session security, OAuth/OIDC flaws, brute-force surfaces, and password storage from code and docs evidence.

not rated 8 yesterday A 35 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Derive abuse cases from module docs and validate them against tests and runtime evidence.

not rated 8 yesterday A 23 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Identify cryptographic failures including weak hashing, insecure encryption modes, hardcoded keys, weak PRNG usage, and disabled TLS verification from code evidence.

not rated 8 yesterday A 33 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Reason about SSRF, IDOR, mass assignment, injection vectors, file upload abuse, prototype pollution, and ReDoS from code and docs evidence.

not rated 8 yesterday B 35 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Assess security logging and monitoring gaps including missing audit trails, log injection surfaces, sensitive data in logs, and alerting coverage.

not rated 8 yesterday A 30 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Identify missing rate limiting and denial-of-service surfaces on authentication endpoints, bulk operations, expensive queries, and WebSocket handlers.

not rated 8 yesterday A 30 tokens original MIT

retest-verification

86

Eliyce/paqad-ai

Skill Codex

Re-evaluate prior pentest findings against fresh local evidence.

not rated 8 yesterday A 17 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Plan and interpret safe runtime checks against a locally running application.

not rated 8 yesterday A 18 tokens original MIT

stride-threat-model

88

Eliyce/paqad-ai

Skill Codex

Enumerate threats systematically using STRIDE before scripted checks run so all downstream findings map to a threat category.

not rated 8 yesterday A 25 tokens original MIT

Eliyce/paqad-ai

Skill Codex

Decide, from the request and the S0 grounding, which domain experts (db, security, ui, ...) the spec pipeline needs — the one model call that replaces a deterministic signal-scorer, because no script can reliably tell which expert a request needs without emitting false signals. Emits a roster-constrained JSON need…

not rated 8 yesterday A 87 tokens original MIT

expert-notes

90

Eliyce/paqad-ai

Skill Codex

Read one expert's brief and, through that expert's lens, write short request-time notes for the spec pipeline — what this request must do, must never break, and still leaves undecided — as findings plus plain-language questions. One runner skill with a lens per expert (db, security, ui, ...), so the procedure is…

not rated 8 yesterday A 101 tokens original MIT

expert-synthesis

91

Eliyce/paqad-ai

Skill Codex

The chief architect for the spec pipeline. Read the request, the grounding, every expert note and the script's merge, then accept or decline each finding with a reason, recommend a resolution for each conflict (never apply it), list the gaps nobody covered, and give a readiness verdict. It is never picked by the…

not rated 8 yesterday A 109 tokens original MIT

Eliyce/paqad-ai

Skill Codex

When no script can classify how a project's test runner parallelizes, read the manifests and lockfiles, decide whether a parallel mode exists and its prerequisite is installed, and emit a validated JSON record for paqad-ai checks record-runner. Issue.

not rated 8 yesterday A 55 tokens original MIT

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