← Research & Writing CopilotSOURCE FILE ARCHIVE
Inside the package
Research & Writing Copilot · 66 files · 250 KB · Nov 3, 2026 · 18:48 UTC
| File | Size |
|---|---|
.codex-plugin/plugin.jsonSHA-256b096c0a8b4b9d2e915ed578f1ba3533753c90009bd19d41aec71a7e6d73fa591 | 3.19 KB |
CHANGELOG.mdSHA-256a36a31f455d46939ceb905d5c88e75aae5c46da88a4bb1f52b862f8f3577ca4b | 575 Bytes |
README.mdSHA-256a399f682a6a8fe1dd5379d7205ca76b5497a446a1ba81f5c4d2f7779afbd31ed | 1.47 KB |
SUBMISSION.mdSHA-256f71be0f52732c1f1c8d4cedd41e98a6edf6354b521c4bfb43c664b5719534275 | 771 Bytes |
UPGRADE_AUDIT.mdSHA-25621f2ba2245fb10bbc40fdb6b44dafe4135d4b818753b5037008a9e25126a7a52 | 1.35 KB |
assets/composer-icon.pngSHA-256e6b0768cd29c6b414f26c0ee50a802a28fd031cbce0258c0acd02a028964ce30 | 190 KB |
assets/logo.pngSHA-25628ef4ac6e3e482745f4c59930e8cbe8abded6f6566fc4f4066d44adc038bca9a | 26.5 KB |
benchmarks/cases.jsonSHA-2561abb7e8f1cb7d7440a23c95c31aed0a6495371cef5f795b159f30a26257252b0 | 8.48 KB |
benchmarks/verification-matrix.mdSHA-256ae51112b7a15412ac01120a315d89500c0cbdc55b3b0dbc4e1aff370e307e072 | 551 Bytes |
plugin.jsonSHA-2568e0576ca75c3bb0a33b4e0aa7dd541021e6bd89570db89d1fc09146253589cea | 3.39 KB |
references/agent-roles.mdSHA-2567b7e4504a5e83af4596e825c30dbf439dce66d7f79cf779fa989a03531946668 | 529 Bytes |
references/article-craft.mdSHA-256f46474f592e94f3ee59e4d98f59904b9260df6badcce872c8b1b68d1faa8d5b9 | 553 Bytes |
references/citation-workflows.mdSHA-256f8165afc4a144adc77cf01abd6d5ba12824caf30e720a89e70fbba2fbb3b5539 | 700 Bytes |
references/comparison-criteria.mdSHA-2567af29ef345bb00bd41b93b9b7d8062e95eca1eec0c36fc78b817239f0aa08e4f | 532 Bytes |
references/content-packaging.mdSHA-25687ca8abc61b3947e38e651a5bce665833f0c768cc56360a30d598a63b6984d7a | 391 Bytes |
references/documentation-patterns.mdSHA-2563ccf6867b2c60365e736120b0d909a3a2bbad05a9638e2f9737d6909b1a43cde | 539 Bytes |
references/evidence-policy.mdSHA-2569f0ce52080ee96040dbf63cb0f282b9841127ba3a9fd183a7a1acec87200f910 | 921 Bytes |
references/explainers-and-teaching.mdSHA-2562426c54c4083c616ab68565b6d391d64833d313a2b0704297c022cb33d64d990 | 362 Bytes |
references/fact-check-and-edit.mdSHA-256be14bf21cb0f6097bdb5859bdc26a4af7e6db3407dee5fc09d007b89fe1b89f9 | 473 Bytes |
references/legacy-original-skill.mdSHA-256d1156184b13bf0b555844f1f3912f8dd69f0c4a7ef04971955116615f1bfc5ac | 12.8 KB |
references/literature-synthesis.mdSHA-256a8727cca01e5b51f520e5890e6e625ef4364edd025ba74ffdcbe68e415e30999 | 537 Bytes |
references/original/comparison_report_framework.mdSHA-25604b67239cce35a86f13138c3a7aeedd42d1e83dbc7f8efdb42fbf8fb443a7c26 | 1.37 KB |
references/original/documentation_explainer_patterns.mdSHA-2563f5c663af56757f56c8f29f9af79ca34192e5fccff2c59b360c92cf802aeea3d | 1.33 KB |
references/original/editing_fact_checking_publish_ready.mdSHA-2566c0a40e0e96f9cf770c2ad440ee25728de12e6e94352b02f79156ddaa47d705f | 1.55 KB |
references/original/official_source_registry.mdSHA-2566ecc172a88a7d9caef5da937749d82ea188898bf8fba68b7abef98b55694abf3 | 2.88 KB |
references/original/publication_adapters_medium_linkedin.mdSHA-256ef200f5fdde31bfee733553027ce83fcd5015f8c40a82a4b0b4b2ce98e0798f3 | 1.61 KB |
references/original/research_source_verification.mdSHA-256136b9746f215df01d51dc848c03b0191345b72aab9e1e57d5dead632fd4c2d2c | 2.58 KB |
references/original/technical_article_blog_patterns.mdSHA-2567cbeed9554a418661387ea421d4f46f14a2d0cd22aa7aa33006c649851758d71 | 1.7 KB |
references/publication-qa.mdSHA-256a672e0c3577a5c60077935560f505440b8c4ec8eb1b23d2a76fbadd12d2ae9ff | 540 Bytes |
references/publishing-channels.mdSHA-256eeacbbaf740b774cd204851b3df192baa8abbdd86335e23aa6d2435b80da049d | 606 Bytes |
references/report-structure.mdSHA-25654af303284caeece639938efb91567754a79044a9e4297c36fb9241cc17d50ce | 412 Bytes |
references/research-method.mdSHA-256a797c95f92808e993fce5252832522dc8d894f34e251982074caa6de8a93c383 | 571 Bytes |
references/source-registries.mdSHA-25686563c74ecfe6216cb8a09d2525c01b0276e102abdfff57fa54555ae20e6e321 | 1.11 KB |
references/technical-examples.mdSHA-25661dfd743f290367a281024f27e21391408a171de7510205317227ece1e7e7199 | 410 Bytes |
references/workflow-routing.mdSHA-2563150eb4ca37fa77b5a68d0ae5bb930d05c7055e3b2fdf9c6ade4e6eaca9b2506 | 642 Bytes |
scripts/evidence_audit.pySHA-2560d9d03118d0466e2ac72ab9140ac35e8c63ce9da6165a9d2761f7d61f224108f | 2.41 KB |
scripts/validate_package.pySHA-2562e94a8dfa7ae661bf0648164d256617f52c1ad4914236513e344ebd7fa207cf6 | 2.63 KB |
skills/adapt-for-publication/SKILL.mdSHA-25690d555373a225f967eafa54a0357db74900e677046dfbdf23251ed22a99fad4a | 1.68 KB |
skills/build-content-package/SKILL.mdSHA-2561383863e42858a74ac4c14ed2c02c40974cc63c1fe3a6f810f7a4e4d8aed3433 | 1.69 KB |
skills/deep-research/SKILL.mdSHA-2562a8706f9492bbd7a532ea910079a1a85514c659f6039f6509c44244d5835bbff | 1.99 KB |
skills/edit-for-clarity/SKILL.mdSHA-2568f04bc162972a439841dc9ad9e032ad29822530c0e618dbf1d74942f61d72ae2 | 1.6 KB |
skills/fact-check-draft/SKILL.mdSHA-256d3165709a70c1122ef0d0c4ba855056b5689d5b36a86589372e16c542b367976 | 1.79 KB |
skills/get-started/SKILL.mdSHA-256c73fa2a04af98b32136a065bc5dabcf593420a95464e233ea6109dbaf896cb83 | 2.28 KB |
skills/literature-review/SKILL.mdSHA-2562e1892f93d92e6a034cd4f65e6b62df269daa42e3224a3a91049515eb1d7b4dd | 1.84 KB |
skills/orchestrate-research-agents/SKILL.mdSHA-256e8644529f65ade4e1029ad2fe07a8f7df95f76abc6b2dd7abd7a8123843c51ce | 2.06 KB |
skills/refresh-existing-content/SKILL.mdSHA-256a1fcbe9f80c933697d23d2549addbf08caf5058ab3e97847c693b2b09f92d0a9 | 1.68 KB |
skills/research-question/SKILL.mdSHA-256184cb5eaf4dc4812b2952b044be231d8b7307f5265ecd194deb2457464d44132 | 1.76 KB |
skills/review-publication/SKILL.mdSHA-25625abfd62e511e3d8da766f1514b251adddd859f5e75fd3b9385a51007c4444ba | 1.79 KB |
skills/synthesize-evidence/SKILL.mdSHA-256ebf1a072c4a41b58886c91f53e9664421e0894e993922e8979198734f16e7171 | 1.7 KB |
skills/technology-comparison/SKILL.mdSHA-25696cd621f1b8a106fab8017bdc914943d4dbb9384d450b6a1563a9c8481f5dfdf | 1.66 KB |
skills/verify-sources/SKILL.mdSHA-256a4ac55b8e6951cae1be1bf92a5ca16240c0e2645987a82b65f07e2916d07cec6 | 1.64 KB |
skills/write-documentation/SKILL.mdSHA-256d16ef60c6d24cc3f716b0cc3b8a3b735d907cc955f1cefded6ce99c77bac7695 | 1.84 KB |
skills/write-explainer/SKILL.mdSHA-25663c6521f5e372b1a30e1a4eeafe572e4ab107f42f5b9e4470c30012c3d346cd4 | 1.55 KB |
skills/write-research-report/SKILL.mdSHA-2569f01ac007f219590209a7ac3f64b94ee4aba14816904a98b512d00bae1869b2f | 1.63 KB |
skills/write-technical-article/SKILL.mdSHA-2563b4d7c6d93c6b910da555d2385fd22380bf9ef1ceebcede96efacfc527693c1e | 1.98 KB |
templates/claim-ledger.csvSHA-2567f57b635d71487e556c417dbdebac434337fc61cbd7568eaeabd7a25fe00d840 | 71 Bytes |
templates/comparison-decision.mdSHA-25619c6eb0420657b939c0b53f7399b5f8cf727e470f0ed285329340bddc4aa48fe | 204 Bytes |
templates/content-package.mdSHA-2568befb213108272146a081560257423c118b47b3a6ea89d393de1cd11a94620b0 | 163 Bytes |
templates/editorial-handoff.mdSHA-25606efc8d8498b68dfb3840a4b04b27936365053dae1bd2473104847c9e0a8cb56 | 221 Bytes |
templates/evidence-matrix.mdSHA-25669b7390cd2ea1341a83b03ab89b18381dc356a933ac82c716f6435eadbe34269 | 140 Bytes |
templates/fact-check-change-log.mdSHA-2562579534e9ee7693f5475a9a4f92cf55e878b3b0dd75892bbf01b77c7e55df82c | 145 Bytes |
templates/paper-extraction.mdSHA-256de1007dc49d190993b5e49273d5ec85a819dd8bc8739ac05ecec997bed0d5100 | 274 Bytes |
templates/publication-review.mdSHA-2561f41ac2c4f446b2cac875160d1b224e857b2ab03810361b54c913b21174766d8 | 438 Bytes |
templates/research-brief.mdSHA-25692c307670a91431c69d40dd86028b44176d0c31a67ab230d33ecc44495d614ea | 207 Bytes |
templates/source-register.csvSHA-256659a055d85e8faef8c0715784a6de3806b99f8c41182b2bad142ec3f04a2a169 | 85 Bytes |
tests/test_evidence_audit.pySHA-256d237099037b827f1f6fa6fa4c98423a2cd115980a26990d38e5520debd2538d0 | 2.46 KB |
Files are archived as data; their code has not been executed. The package does not include private remote service code.