/ask-obstacle-acceptance
Present obstacles with their severity assessments and proposed mitigations
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ask-obstacle-acceptance --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ask-obstacle-acceptance
Context preview
The summary Claude sees to decide when to auto-load this skill.
Present obstacles with their severity assessments and proposed mitigations
SKILL.md
ask-obstacle-acceptance.SKILL.mdname: ask-obstacle-acceptance description: Present obstacles with their severity assessments and proposed mitigations to the user. Ask whether they can accept these obstacles. If unacceptable after 2 rounds, return to present-candidates. execution: dialogue
Ask Obstacle Acceptance
Get user's acceptance of the obstacle landscape.
Execution
Dialogue — inline, no subagent.
What to Present
Each obstacle with:
- Severity assessment
- Proposed mitigation
- Estimated effort
What to Ask (one at a time)
- Given these obstacles and mitigations, can you accept this direction?
- Are there difficulties I missed that you're aware of?
- Is there any obstacle here that's a complete deal-breaker?
Search
Optional — may use the 5 imported skills if user raises new concerns that need investigation.
If Unacceptable
Signal to tactic that direction needs to change (return to present-candidates in direction-narrowing tactic).
Output
User's acceptance decision + any new concerns raised.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill