hashintel/labs/assumptions
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Checking that the SKILL.md file is still in the repository.
Create and maintain an Assumption Ledger — a persistent record of assumptions, their confidence, and validation status. Use when starting a new slice, resuming work in a new context window, or when implicit assumptions risk causing drift. Tracks requirements, architecture, and implementation assumptions.
Install
npx vskill@latest install hashintel/labs/assumptionsSKILL.md
Assumption Ledger
Maintain a project-wide Assumption Ledger — durable memory of what was assumed, how sure we were, and how it was proved or disproved. Supports fresh context per slice without losing epistemic continuity.
Input
Mode + context: $ARGUMENTS
Modes:
create— initialize a new ledgerupdate— add/update assumptions from a card, spike verdict, or slice resultreview— summarize current ledger and recommend what to validate next
Ledger location
Default: docs/assumptions.md. If it exists, update — don't duplicate.
Ledger schema
Each entry MUST include:
- ID:
A-###(stable identifier) - Statement: one sentence, falsifiable if possible
- Type: Requirement | Architecture | Implementation
- Confidence: 0-100%
- Status: Proposed | Validated | Invalidated | Obsolete
- Introduced by: (card / spike / slice / commit)
- Validated by: (test name, command, spike evidence) — required for Validated/Invalidated
- Last reviewed: YYYY-MM-DD
Graduation Protocol
Assumptions track uncertainty and confidence. They are not permanent authority. When assumptions stabilize, promote them to their canonical home:
- Capsule promotion: durable semantic law or glossary boundary →
docs/capsule.md or docs/capsule-<feature>.md
- Roadmap/decision promotion: strategic initiative choice with
reversibility/rationale → docs/roadmap.md (and/or decisions log)
- Milestone promotion: temporary phase sequencing or deferment →
docs/milestone.md
- Contract promotion: enforceable invariant now ready for code-level checks
→ /pragma:contract + tests
When promoted, keep the assumption entry for history and add a "Promoted to" reference with path/anchor.
Procedure
Mode: create
Create docs/assumptions.md with sections: Active (Proposed), Validated, Invalidated/Obsolete, Open Questions. Seed with 3-10 initial assumptions if obvious from capsule/card.
Mode: update
- Extract assumptions from context ("ASSUMPTION:" lines in cards, spike verdicts, slice summaries)
- Match against existing entries → update confidence/status/evidence. New → assign ID, add under Active.
- Confidence < 70% → mark High Risk, recommend clarification or
/pragma:spike - Disproved by spike/test → move to Invalidated, note "Replaced by A-###" if superseded
- For any stabilized assumption, apply the graduation protocol and add
cross-reference links to the promoted artifact
Mode: review
- List Active (Proposed) sorted by: lowest confidence first, highest impact first
- Recommend:
/pragma:spikefor unknowns,/pragma:card+/pragma:slicefor E2E-validatable assumptions,/pragma:characterizefor behavior already in code - Identify stale assumptions (not reviewed recently, weak evidence)
- Identify promotable assumptions and their target authority document
Constraints
- No vague assumptions. "Should be scalable" → rewrite as falsifiable statement.
- Validated/Invalidated requires evidence. Cite test, command output, or spike verdict.
- Do not delete history. Invalidated assumptions stay recorded.
- Assumptions are not features. The ledger records knowledge state, not work.
- Do not treat assumptions as semantic authority. Durable definitions and
laws must be promoted to capsule.
Output
- The updated
docs/assumptions.mddiff summary - The top 3 highest-risk active assumptions
- Promotion summary (assumptions promoted, with destination artifacts)
- The recommended next step (often
/pragma:spikeor/pragma:card) - Lifecycle:
State: governance,Next: /pragma:consult(or the explicitly recommended next step),Loop: /pragma:consult(default unless user explicitly continues directly)
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingpocs/agent-plugins/claude-pragma/skills/assumptions/SKILL.md
Popularity
- Repository stars
- 35
- Repository forks
- 14
- 7-day trend score
- 18
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 23 May 2026, 5 months ago.
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