ars-unmark-read
The ars-unmark-read command rescinds a previously recorded human-read signal for one or more citation keys in an Academic Research Skills workflow. It appends a rescinded_at timestamp to the matching entry in the session-scoped read log rather than deleting it, preserving audit trail integrity, and the next finalizer pass demotes associated citations back to LOW-WARN status. Use this when you need to reverse a reading confirmation while maintaining complete signal trajectory history.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/Imbad0202/academic-research-skills/HEAD/commands/ars-unmark-read.md -o ~/.claude/commands/ars-unmark-read.mdars-unmark-read.md
Rescind a previously recorded human-read signal for the named citation key(s). Per v3.6.8 spec §3.6 firm rule 3, the session-scoped peer file `<passport-stem>_human_read_log.yaml` is append-only: rescind writes a `rescinded_at: <ISO 8601>` field on the matching entry rather than deleting it, so audit replay can reconstruct the user's signal trajectory. The next finalizer pass will demote `<!--ref:slug ok-->` back to `<!--ref:slug LOW-WARN-->` for each rescinded slug. The dispatching agent substitutes `<path>` below with the active Material Passport path from session context before executing (the quoting is preserved so paths containing spaces remain a single argument). The CLI requires the citation_key to exist in `literature_corpus[]` AND to have an unrescinded prior mark in the read-log; hard-fails otherwise with the canonical `[ARS-MARK-READ ERROR: ...]` message. Implementation: ```bash python3 scripts/ars_mark_read.py $ARGUMENTS --passport-path "<path>" --unmark ``` Mode reference: `docs/design/2026-04-30-ars-v3.6.8-trust-provenance-and-drift-transparency-spec.md` §3.6 + Step 7.
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
ARS academic-paper `abstract-only` mode — bilingual abstract + keywords
ARS /ars-cache-invalidate — drop cached verification entries for a citation key
ARS academic-paper `citation-check` mode — citation error report
ARS academic-paper `disclosure` mode — venue-specific AI-usage statement
ARS academic-paper `format-convert` mode — convert to LaTeX / DOCX / PDF / Markdown