Claims
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
A skill your agent uses when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
$ npx skills add OpenLAIR/dr-claw --skill ds-finalize -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenLAIR/dr-claw ds-finalize --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-finalize .claude/skills/ds-finalize && 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-finalize" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-finalize into .claude/skills/ds-finalize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-finalize", 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-finalizeType 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-finalize -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenLAIR/dr-claw ds-finalize --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-finalize .agents/skills/ds-finalize && 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-finalize" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-finalize into .agents/skills/ds-finalize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-finalize", 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-finalize -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenLAIR/dr-claw ds-finalize --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-finalize .cursor/skills/ds-finalize && 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-finalize" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-finalize into .cursor/skills/ds-finalize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-finalize", 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-finalize--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-finalize -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenLAIR/dr-claw ds-finalize --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-finalize .gemini/skills/ds-finalize && 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-finalize" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-finalize into .gemini/skills/ds-finalize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-finalize", 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-finalizeInstalls 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-finalize -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-finalize .github/skills/ds-finalize && 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-finalize" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-finalize into .github/skills/ds-finalize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-finalize", 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-finalize -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-finalize --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-finalize .opencode/skills/ds-finalize && 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-finalize" agent skill from https://github.com/OpenLAIR/dr-claw/tree/main/skills/ds-finalize into .opencode/skills/ds-finalize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ds-finalize", 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-finalizeA skill your agent uses when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
Ds Finalize is an agent skill from OpenLAIR/dr-claw. Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/finalization-checklist.md` and `references/resume-packet-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.
7 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 Finalize loads about 3.2k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 1,664 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). 1,664 words, ~3,218 tokens.
.claude/skills/ds-finalize/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Use this skill to close or pause a quest responsibly.
artifact.interact(kind='milestone', ...) update that names the recommendation, why it is the right call, and any reopen condition that still matters.artifact.complete_quest(...).bash_exec.The finalize stage should not pretend every line succeeded. It should produce the most accurate final state of the quest:
Finalize is not just a short summary. It is the durable closure protocol that turns a long-running research graph into a recoverable stopping point, a publishable handoff, or an honest continue-later checkpoint.
Before finalizing, gather:
If finalization reveals that the quest is still too uncertain, route back through decision rather than forcing closure.
For paper-like deliverables, do not finalize while any of these remain true:
If the current paper-state blocker is not obvious from the existing files, call artifact.get_paper_contract_health(detail='full') before deciding whether finalize is legitimate.
If the active quest/runtime state is unclear after restart or long pause, call artifact.get_quest_state(detail='summary') first.
If the exact latest SUMMARY.md, status.md, or active user requirement wording matters for closure, call artifact.read_quest_documents(...).
If earlier user/assistant continuity matters for whether the quest should really stop, call artifact.get_conversation_context(...) instead of guessing from prompt context alone.
Use:
SUMMARY.mdartifact.arxiv(...) when final claim checks require rereading an arXiv paperDo not finalize from chat memory alone.
The finalize stage should usually leave behind:
SUMMARY.mdstatus.mdIf the quest produced a paper-style bundle, finalization should also check that the writing stage left behind enough closure evidence, such as:
State clearly:
Do not only say that evidence exists. Say clearly what exists and why it matters. Name concrete paths or artifact ids only when the user asks for them or needs them to act. When a paper bundle exists, verify the manifest inventory explicitly, including:
paper/paper_bundle_manifest.jsonpaper/evidence_ledger.jsonpaper_branch and source evidence branch / run fields in that manifestoutline_pathdraft_pathwriting_plan_pathreferences_pathclaim_evidence_map_pathevidence_ledger_pathbaseline_inventory_pathcompile_report_pathpdf_pathlatex_root_pathrelease/open_source/manifest.json when open-source preparation has startedrelease/open_source/cleanup_plan.md when the paper line is being prepared for a public code releaseFor every important outcome, classify it as one of:
For each claim, record:
If a claim was once believed and later weakened, preserve that downgrade history rather than silently deleting it.
Also build a compact belief-change log for the most important claim transitions, such as:
For each transition, record:
Limitations should include:
Also preserve:
Choose the most honest next recommendation, such as:
The recommendation should include:
When deciding whether the quest is publish-ready or only archive-ready, be explicit about which writing or validation gates have actually passed.
If the quest may continue later, leave behind a compact restart packet that answers:
This packet should be short, high-signal, and directly usable by a future agent turn.
Refresh:
SUMMARY.mdstatus.mdIf the summary changes materially, make it clear why the quest is now considered final or paused.
When summarizing long histories, prefer the highest-impact findings and decisions rather than a full chronological replay.
The final stage should end with an explicit durable decision or report rather than an implied stopping point. If multiple closure options were available, record why the chosen one beat the alternatives.
Good finalization:
Weak finalization:
Stage-start requirement:
memory.list_recent(scope='quest', limit=5)memory.search(...) before closure writingFinalize should read memory before writing closure, especially:
decisionsknowledgeepisodespapers when the final story depends on citation or literature contextIf final closure depends on rereading a paper, keep the same split:
artifact.arxiv(paper_id=..., full_text=False) for the actual paper reading or refreshfull_text=True only when the shorter view is insufficientWrite to memory only when the lesson is reusable across quests, such as:
Stage-end requirement:
memory.write(...) before leaving the stageQuest-specific closure state belongs in files and artifacts first, not only memory.
Typical final artifacts:
artifact.render_git_graph()Good final artifacts often include:
If finalization is premature, record that explicitly.
Common blocked finalize states:
In that case, route back to the proper stage through decision.
Use these references when you need a denser closure checklist:
references/finalization-checklist.mdreferences/resume-packet-template.mdExit the finalize stage once one of the following is durably true:
© 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 2 other files (references) in skills/ds-finalize of OpenLAIR/dr-claw.
Open the folder on GitHubat commit d51b64e
Ds Finalize 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 Finalize this skillOpenLAIR/dr-claw | 1.2k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Claimsruvnet/ruflo | 74k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Implementing API Abuse Detection With Rate Limitingmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| Web3 Rate Limiting Circuit Breakersickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Limitsparcadei/Continuous-Claude-v3 | 3.9k | 1 repos | ~318 | Automated safety check: Notes | MIT | |
| Performing API Rate Limiting Bypassmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4.4k | Automated safety check: Pass | Apache-2.0 |
ruvnet/ruflo
Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.
mukul975/Anthropic-Cybersecurity-Skills
Implements API abuse detection using token bucket, sliding window, and fixed window rate-limiting algorithms backed by Redis, including adaptive limits that tighten during detected attacks and relax…
sickn33/agentic-awesome-skills
On-chain and relayer rate-limiting circuit breaker register: throughput thresholds, emergency pause triggers, and multi-sig recovery.
parcadei/Continuous-Claude-v3
Problem-solving strategies for limits in real analysis. An agent skill from parcadei/Continuous-Claude-v3.
mukul975/Anthropic-Cybersecurity-Skills
Tests API rate limiting for bypass vulnerabilities using Python (requests/aiohttp) and Burp Suite Turbo Intruder to manipulate headers (e.g.
openclaw/openclaw
Manage OpenClaw GitHub Actions and Blacksmith CI capacity, runner-registration budgets, fanout caps, main-push single-flight, shard sizing, hosted-runner offload, queue health, and safe…
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 the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving. Ds Finalize is an agent skill from OpenLAIR/dr-claw. Use when the quest is ready to consolidate final claims, limitations, recommendations, summary state, and graph exports before stopping or archiving.
Ds Finalize fits situations like: the quest is ready to consolidate final claims; recommendations; graph exports before stopping.
Run `npx skills add OpenLAIR/dr-claw --skill ds-finalize -a claude-code`. Or copy the skill folder (skills/ds-finalize in OpenLAIR/dr-claw) into .claude/skills/ds-finalize in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenLAIR/dr-claw --skill ds-finalize -a codex`. Or copy the skill folder (skills/ds-finalize in OpenLAIR/dr-claw) into .agents/skills/ds-finalize 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-finalize -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-finalize, .gemini/skills/ds-finalize, .github/skills/ds-finalize and .opencode/skills/ds-finalize in your project.
SKILL.md names no scripts, command-line tools or credentials: Ds Finalize 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 Finalize is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k 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 555 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ds Finalize: Claims (ruvnet/ruflo, 74k stars), Implementing API Abuse Detection With Rate Limiting (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Web3 Rate Limiting Circuit Breaker (sickn33/agentic-awesome-skills, 47k stars) and Limits (parcadei/Continuous-Claude-v3, 3.9k 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 1,153 GitHub stars. The repository holds 35 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.