Install
$ agentstack add skill-v0lka-skills-research-status ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Research Status Overview
Generate a comprehensive status snapshot of an research project.
Context
At any point during a research project, stakeholders need to understand: where the research stands, what has been learned, what the active fronts are, and how much budget remains. This skill reads all project artifacts and produces a structured overview.
This is especially useful for quarterly review preparation, onboarding new team members, and periodic self-assessment by the researcher.
Procedure
Step 1 — Locate the research project
Ask the user to identify the research project (by ID, name, or directory path). Read the brief (brief.md) to confirm the correct project.
Step 2 — Gather data
Read the following files:
brief.md— research question, success criteria, scope, status,
constraints, implementation plan.
hypotheses/graph.md— the Mermaid diagram and catalog table.- All hypothesis cards (
hypotheses/H-*.md) — to get detailed status
and results.
prior-art.md— to count cataloged sources.
Step 3 — Compute metrics
Calculate:
- Total hypotheses: count of all
H-NNN.mdfiles. - By status: how many are open, in-progress, confirmed, refuted,
cancelled.
- Confirmation rate: confirmed / (confirmed + refuted), excluding
cancelled and open.
- Graph depth: longest path from a root hypothesis to a leaf.
- Graph breadth: maximum number of active (non-terminal) branches.
- Active front: hypotheses that are
openorin-progress. - Prior art entries: count of entries in
prior-art.md.
If the brief contains time budget information (start date, expected end date), calculate:
- Elapsed time: from start to today.
- Remaining time: from today to expected end.
- Time consumption: elapsed / total as a percentage.
Step 4 — Identify the current front line
The "front line" is the set of hypotheses at the leading edge of the research — those that are currently open or in-progress, and represent the active areas of investigation. For each front-line hypothesis:
- ID and statement.
- Timebox status (how much time remains).
- Parent chain: trace back to root to show the reasoning path.
Step 5 — Summarize key findings
From confirmed and refuted hypotheses, extract the most important findings — things that answer (partially or fully) the research question, or that significantly shaped the research direction.
List the top 3–5 findings with one sentence each.
Step 6 — Identify risks and concerns
Flag potential issues:
- Timebox overruns: hypotheses where the timebox is close to or past
expiry without a result.
- Stalled branches: hypotheses in
in-progresswith no recent updates. - Budget pressure: if overall time consumption exceeds hypothesis
completion rate, flag convergence risk.
- Scope drift: if the active hypotheses have diverged significantly
from the original research question.
Step 7 — Generate the overview
Present the status in a structured format:
# Research Status: [R-NNN] Title
## Summary
- Status: Active / Completed / Paused
- Research question: ...
- Time: X of Y days elapsed (Z%)
- Hypotheses: A total (B confirmed, C refuted, D cancelled, E open/in-progress)
## Current Front Line
- H-NNN: [statement] — [timebox status]
- H-NNN: [statement] — [timebox status]
## Key Findings So Far
1. [finding]
2. [finding]
3. [finding]
## Hypothesis Graph
[Mermaid diagram from graph.md]
## Risks and Concerns
- [risk]
- [risk]
## Prior Art
- X sources cataloged (Y high relevance, Z medium, W low)
## Implementation Plan Status
[Current state of the implementation plan from brief.md]
Step 8 — Suggest next actions
Based on the overview, suggest what the researcher should focus on next:
- Which hypothesis to experiment on next (if multiple are open).
- Whether any branch should be killed due to resource pressure.
- Whether synthesis should begin (if the research question is answered
or budget is nearly exhausted).
- Whether additional prior art research would be valuable.
Quarterly Review Mode
When invoked with a quarterly review context, additionally prepare:
- Changes since last review: compare current state with the state at
the start of the quarter (or last review date if provided).
- Demo-ready prototypes: list prototypes that can be demonstrated.
- Next quarter plan: proposed focus areas and hypotheses for the
next period.
Relation to Other Skills
- Can be invoked at any time during the research lifecycle.
- Feeds into
research-decision(informs graph-level decisions). - Provides the starting data for
research-synthesis. - Useful before invoking
research-prior-art(identifies knowledge gaps).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: v0lka
- Source: v0lka/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.