provenance plugins

by Fitness Ledger Contributors

Library-native, provenance-aware nutrition and fitness tracking skills. Route any tracked food, nutrition, hydration, weight, workout, steps, activity, or fitness-data request through the relevant Fitness Ledger skill first.

by DBHQ

Put a second agent on the work - as an adversary or as a partner - and get back a result you can cite. Five named patterns: red-team attacks an idea without being shown your evidence, second-opinion judges your material without being shown your conclusion, verify rules on finished work against stated constraints, collaborate is a peer conversation, and debate runs blind proposals into adversarial rounds. Runs on Codex, opencode or GitHub Copilot behind one provider layer, and records what each run was told and what it was not.

by Thom Conaty

Write any body of material as a dated reading note: answer first, sourced provenance, marked claims, numbers with scale and a baseline, a 2,000-word ceiling, and a closing decision section. Content agnostic, with a research special case. Ships the format, voice rules, template, worked example, a structural checker with H-number and EXP_ register checks, and an HTML page builder with a fixed white light default plus dark and auto themes. Skill invokes as papertime:papertime (or /papertime when vendored into a repository).

by Arbel Hakopian

Checked memory skills for AI coding agents. Resume anywhere: any task, any session, any model, from a checkout. One markdown record per task, committed like code and checked like code, with a lint, a review gate, decision records, a generated HANDOFF page, and session archives.

by Anna Rosen

Research-coding workflow for computational science, built with a JAX/Python astrophysics group and domain-agnostic in its contracts. The researcher owns the science: scientific assumptions are proposed and approved before they become load-bearing, experiments carry a derived prediction, and validation is staged (physics and analytic checks in development, published-result or reference-code comparison before release). 43 skills: model development and ideation, literature, scoping, building correctly, equation-critical sources, verification and numerical validation, Bayesian inference, code and figure review, performance, records and provenance, MyST documentation, reproducibility and release. Plus an equation-verifier agent, six slash commands, twelve self-limiting hooks (Stop gates warn by default; RWF_STRICTNESS=standard blocks), and per-domain lenses for reference-parity work. The same skill files load in Codex via a symlink.

by Vishnu Prashanth

Verify material agent claims, surface unresolved human verification gaps, detect when new evidence changes an earlier conclusion or assumption, and retain inspectable local evidence and provenance in Claude Code.

by The Interdependency

The Interdependency skill library with evidence-bearing usage maturity.

by watermarks-remover contributors

Remove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B), and C2PA/EXIF/XMP/container metadata on images, documents, and media. Ships the remove-ai-marks skill (thin client over the repo's HTTP service) and the self-contained clean-user-facing-text skill.