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` for each rescinded slug.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.
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 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, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆.
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.
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 deep-research `three-way-scan` mode — WHY / HOW / WHAT paper comparison
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