Orchestrate
sickn33/agentic-awesome-skills
Coordinate focused subagents on substantial work, keep their ownership non-overlapping, and integrate verified results.
A skill your agent uses when a draft, paper, or paper-like report is substantial enough for an independent skeptical audit before finalization, rebuttal, or revision routing.
$ npx skills add OpenLAIR/dr-claw --skill ds-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenLAIR/dr-claw ds-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ds-review .claude/skills/ds-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ds-review" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-review into .claude/skills/ds-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenLAIR/dr-claw --skill ds-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenLAIR/dr-claw ds-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ds-review .agents/skills/ds-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ds-review" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-review into .agents/skills/ds-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenLAIR/dr-claw --skill ds-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenLAIR/dr-claw ds-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ds-review .cursor/skills/ds-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ds-review" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-review into .cursor/skills/ds-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenLAIR/dr-claw.git --path skills/ds-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenLAIR/dr-claw --skill ds-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenLAIR/dr-claw ds-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ds-review .gemini/skills/ds-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ds-review" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-review into .gemini/skills/ds-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenLAIR/dr-claw ds-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenLAIR/dr-claw --skill ds-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ds-review .github/skills/ds-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ds-review" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-review into .github/skills/ds-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenLAIR/dr-claw --skill ds-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenLAIR/dr-claw ds-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenLAIR/dr-claw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ds-review .opencode/skills/ds-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ds-review" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-review into .opencode/skills/ds-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ds-reviewA skill your agent uses when a draft, paper, or paper-like report is substantial enough for an independent skeptical audit before finalization, rebuttal, or revision routing.
Ds Review is an agent skill from OpenLAIR/dr-claw. Use when a draft, paper, or paper-like report is substantial enough for an independent skeptical audit before finalization, rebuttal, or revision routing.
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/experiment-todo-template.md`, `references/review-report-template.md` and `references/revision-log-template.md`).
The repository describes itself as: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d51b64e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ds Review loads about 4k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 1,978 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from OpenLAIR/dr-claw at commit d51b64e, republished under its MIT licence (© OpenLAIR). 1,978 words, ~4,026 tokens.
.claude/skills/ds-review/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Use this skill when the quest already has a substantial draft, paper, or paper-like report and now needs an independent, skeptical, evidence-grounded audit.
This is not the same as ordinary write.
It is also not the same as rebuttal.
write turns accepted evidence into a narrative.review audits that narrative like a harsh but constructive expert reviewer.rebuttal responds to concrete external reviewer pressure that already exists.artifact.interact(kind='milestone', reply_mode='threaded', ...) update that says what the main risks are, what should be fixed next, and whether the next route is writing, experiment, or claim downgrade.bash_exec.review is an auxiliary audit skill for paper-like deliverables.
It should convert “the draft feels almost done” into a durable, skeptical, technically grounded review workflow:
write, analysis-campaign, baseline, scout, or decisionDefault review stance: independent audit before celebration. Do not treat “looks polished” as “is defensible”.
paper/draft.md, report draft, or paper-like manuscript already existsrebuttalstartup_contract.review_followup_policy is present, honor it:audit_onlyauto_execute_followupsuser_gated_followupsstartup_contract.manuscript_edit_mode = latex_required, treat the provided LaTeX tree or paper/latex/ as the writing surface when manuscript revision is needed.latex_required is requested, do not pretend the manuscript was edited; produce LaTeX-ready replacement text and an explicit blocker note instead.Use, in roughly this order:
evaluation_summary blocks from recent main experiments and analysis slicesIf the draft/result state is still unclear, open intake-audit first before continuing the review workflow.
Before proposing extra experiments, read those structured evaluation_summary blocks first so you do not request work that the recorded evidence already resolved.
If the user provided draft files or manuscript bundles directly, first normalize them into durable quest-visible paths before planning experiments or section-level revisions.
The review pass should usually leave behind:
paper/review/review.mdpaper/review/revision_log.mdpaper/review/experiment_todo.mdpaper/paper_experiment_matrix.md when more evidence is still neededpaper/paper_experiment_matrix.json when more evidence is still neededUse the templates in references/ when needed:
review-report-template.mdrevision-log-template.mdexperiment-todo-template.mdAudit at least these dimensions:
Before writing the review itself, make the audit explicit.
Identify:
C1, C2, C3If novelty, related-work coverage, or field positioning is unclear:
scoutDo not request new experiments just to answer a literature-positioning question.
Write paper/review/review.md using references/review-report-template.md.
The review should be:
At minimum, the review report should cover:
If helpful, include an internal conservative overall judgment or score, but do not pretend numerical precision when evidence is still unstable.
Write paper/review/revision_log.md using references/revision-log-template.md.
For each serious issue, record:
finalizestartup_contract.manuscript_edit_mode = latex_requiredOnly if more evidence is truly needed, write paper/review/experiment_todo.md using references/experiment-todo-template.md.
When the paper still lacks experimental support, also create or revise:
paper/paper_experiment_matrix.mdpaper/paper_experiment_matrix.jsonTreat the matrix as the paper-facing master plan and paper/review/experiment_todo.md as only the current execution frontier or review-facing subset.
Each TODO item should include:
exp_id in the paper experiment matrixDo not write a vague “run more ablations” list.
Each TODO item should be concrete enough to turn into analysis-campaign slices or a baseline recovery task.
The matrix should be broader than the TODO list and should classify the full paper-facing experiment space, not just analysis work.
When building or revising that matrix, explicitly consider:
Do not assume the paper only needs “analysis experiments”. Do not assume case studies belong in the required set. If efficiency or cost could become a reviewer-facing strength or concern, put that into the matrix explicitly.
For the matrix, each row should usually record:
exp_idtierexperiment_typestatusfeasibility_nowclaim_idshighlight_idsresearch_questionhypothesiscomparatorsmetricsminimal_success_criterionpaper_placementpromotion_rulenext_actionThe matrix should also keep a short highlight hypotheses block.
Do not rely on prose intuition for the method's best selling point; if a likely highlight matters, it should have a corresponding validation row in the matrix.
Before treating the experiments section as stable, require that every currently feasible matrix row that is not merely optional or dropped is either:
When extra evidence is truly needed, use the shared supplementary-experiment protocol:
artifact.create_analysis_campaign(...)artifact.record_analysis_slice(...)Do not invent a separate review-only experiment workflow.
After the review artifacts are durable:
writescoutbaselineanalysis-campaigndecisionDo not stop immediately after writing the review if the next route is already clear.
When startup_contract.review_followup_policy = auto_execute_followups:
analysis-campaignbaselinewritepaper/review/revision_log.mdpaper/review/experiment_todo.mdWhen startup_contract.review_followup_policy = user_gated_followups:
When startup_contract.review_followup_policy = audit_only:
If manuscript revision is required, make the delta explicit:
If startup_contract.manuscript_edit_mode = copy_ready_text:
paper/review/revision_log.md or a nearby revision notewriteIf startup_contract.manuscript_edit_mode = latex_required:
Open additional skills only when the review workflow requires them:
intake-auditscoutbaselineanalysis-campaignwritefigure-polishdecisionUse these tools deliberately:
artifact.record(payload={'kind': 'decision', ...})artifact.create_analysis_campaign(...)artifact.record_analysis_slice(...)artifact.submit_paper_outline(mode='revise', ...)artifact.submit_paper_bundle(...)artifact.interact(...)Stage-start requirement:
memory.list_recent(scope='quest', limit=5)memory.search(...) for:Stage-end requirement:
memory.write(...)Useful tags include:
stage:reviewtype:paper-reviewtype:revision-plantype:experiment-gaptype:claim-downgradereview is successful when:
write, analysis-campaign, baseline, scout, or finalize without ambiguityThe goal is not to sound severe. The goal is to make the next revision step technically clear and evidence-bound.
© OpenLAIR, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/ds-review of OpenLAIR/dr-claw.
Open the folder on GitHubat commit d51b64e
Ds Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ds Review this skillOpenLAIR/dr-claw | 1.2k | — | ~4k | Automated safety check: Pass | MIT | |
| Orchestratesickn33/agentic-awesome-skills | 47k | 1 repos | ~692 | Automated safety check: Pass | MIT | |
| Marketing Claims Reviewanthropics/claude-for-legal | 9.6k | 2 repos | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Deepchat SddThinkInAIXYZ/deepchat | 6.4k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Doc CoauthoringGalaxy-Dawn/claude-scholar | 5.7k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Rust Validationmacro-inc/macro | 4.6k | — | ~396 | Automated safety check: Notes | AGPL-3.0 |
sickn33/agentic-awesome-skills
Coordinate focused subagents on substantial work, keep their ownership non-overlapping, and integrate verified results.
anthropics/claude-for-legal
Review marketing copy for claims that need substantiation, reframing, or cutting.
ThinkInAIXYZ/deepchat
Use before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable RFC and an explicit execution path.
Galaxy-Dawn/claude-scholar
This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative…
macro-inc/macro
Validate Rust work after substantial Rust code changes by running just check, just clippy, then just format.
basicmachines-co/basic-memory
Apply the user-customizable writing standard for Basic Memory notes created or substantially revised by Codex.
OpenLAIR/dr-claw
Analyzes reviewer comments and drafts venue-specific rebuttals for AI and computer science conferences, with an issue board, task list and paper edit plan.
OpenLAIR/dr-claw
Turns a research paper into a slide deck and, optionally, a narrated demo video, through script, slide generation, text-to-speech and video assembly stages you control.
OpenLAIR/dr-claw
Clusters the latest news-feed results by topic and writes a briefing of research idea seeds with citations, plus a structured seeds file, without crawling new sources.
OpenLAIR/dr-claw
Searches Hugging Face Hub, OpenML, GitHub and paper references for datasets that fit a research task and returns a ranked, de-duplicated table.
OpenLAIR/dr-claw
Runs multi-source web research through Google's Gemini Deep Research Agent with a bundled Python script and saves a structured, cited report as files.
OpenLAIR/dr-claw
Six-phase workflow for writing, revising and adapting grant proposals for NSF, NIH, DOE, DARPA, NASA and China's NSFC, from profiling through simulated peer review.
A skill your agent uses when a draft, paper, or paper-like report is substantial enough for an independent skeptical audit before finalization, rebuttal, or revision routing. Ds Review is an agent skill from OpenLAIR/dr-claw. Use when a draft, paper, or paper-like report is substantial enough for an independent skeptical audit before finalization, rebuttal, or revision routing.
Ds Review fits situations like: paper-like report is substantial enough for an independent skeptical audit before finalization; revision routing.
Run `npx skills add OpenLAIR/dr-claw --skill ds-review -a claude-code`. Or copy the skill folder (skills/ds-review in OpenLAIR/dr-claw) into .claude/skills/ds-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenLAIR/dr-claw --skill ds-review -a codex`. Or copy the skill folder (skills/ds-review in OpenLAIR/dr-claw) into .agents/skills/ds-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenLAIR/dr-claw --skill ds-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ds-review, .gemini/skills/ds-review, .github/skills/ds-review and .opencode/skills/ds-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Ds Review is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ds Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 792 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ds Review: Orchestrate (sickn33/agentic-awesome-skills, 47k stars), Marketing Claims Review (anthropics/claude-for-legal, 9.6k stars), Deepchat Sdd (ThinkInAIXYZ/deepchat, 6.4k stars) and Doc Coauthoring (Galaxy-Dawn/claude-scholar, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,155 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 17, 2026.
Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.