deep-research v2.2.0, deep-web-research v2.1.0 — clarifying-question cap
Both skills now have a hard cap on clarifying questions / scope ambiguity: - deep-research (general profile dispatcher): 3 questions default, 5 hard cap, abort at 6+. If the operator's question is under-specified, push back rather than fire 6+ questions. - deep-web-research (research profile methodology): headless, no operator to ask. Detects under-specified questions and aborts with a structured report naming the plausible interpretations, instead of dispatching with a guessed scope. This addresses the workshopping rule: 'up to 10 clarifying questions at start, with max clarity.' Consensus after peer review: 10 is too many, tighter cap forces prioritization. Abort at 6+ is the signal that the question itself is broken, not the agent's question-asking budget.
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---
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name: deep-web-research
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description: Exhaustive deep web research — six-move flow, external findings ledger, mechanical saturation check, disconfirmation, condensation from disk. Domain-aware tool selection with adaptive re-strategizing. Opt-in skill for the research profile.
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version: 2.0.0
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version: 2.1.0
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author: Hermes Agent
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---
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@@ -102,6 +102,40 @@ that are immune to header ordering.
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confirmed by a human-authored source is still confirmable. Don't auto-cap
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confidence just because the tier is `osint`.
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## Under-Specified Question Handling
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This skill runs headless — there is no operator to ask clarifying questions. If the question is ambiguous enough that any strategy would be a guess, **abort with a structured under-specification report instead of dispatching with a guessed scope.**
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**Detection triggers (any one is enough to abort):**
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- The question references a person / org / project / model with no disambiguating context (multiple plausible referents, no narrowing clue in the prompt)
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- The question asks "everything about X" with no scoping (time range, domain, angle)
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- The question has 3+ mutually-exclusive branches and no signal which one is wanted
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- The question uses vague hedges ("good", "best", "modern", "recent") with no concrete criterion
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**What to do instead of guessing:**
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1. Do NOT start Move 0. Do NOT begin the ledger.
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2. Write to stderr / final report:
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```
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## Aborted: Under-Specified Question
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The question "<original question>" has multiple plausible interpretations.
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Cannot dispatch a research strategy without narrowing the scope.
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Possible interpretations:
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- <interpretation 1>
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- <interpretation 2>
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- <interpretation 3>
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Ask the operator to clarify which one is intended, or rewrite the question with the scope made explicit.
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```
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3. Exit cleanly. Do not fabricate findings, do not start Move 1.
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**Cap on auto-clarification attempts:** None. The skill does not interactively ask the operator. One dispatch, one answer (or one abort). The dispatcher (`deep-research` on the general profile) handles the operator-facing clarifying question loop before this skill is even loaded — see the "Clarifying Questions (Before Dispatch)" section in that skill.
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**Cap on output length when aborting:** Short. The whole point of the abort is to surface the problem fast. Five lines of possible interpretations is the ceiling.
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## Six-Move Research Flow
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### Move 0: Analyze & Strategize
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