Compare a claimed state with observable repository evidence and report concrete gaps. Requires a claim or expected state to test. Triggers: "reality check", "is this claim actually done", "compare claim to repo".
npx skills add https://github.com/boshu2/agentops --skill reality-check
Compare an explicit claim with observable evidence. Cite every confirmed or
missing behavior with a file, command result, or artifact. Separate:
When the claim is a completion or status claim, audit it against the stated
goals, not against what happens to exist. Enumerate every goal in the vision,
plan, or intent source and give each a disposition: confirmed with evidence,
concrete gap, or unverifiable. The audit is complete only when every stated
goal carries a disposition; full coverage of the built surface alone proves
nothing about completion. The named failure mode is built-world bias:
auditing only the code that exists, so goals nobody started never surface as
gaps.
When the same check runs across multiple passes or sessions, freeze the exact
question wording before the first pass and ask it identically in every pass;
record the frozen wording in the report. A pass that answers a reworded
question starts a new baseline — comparing it against earlier passes is the
drifting-rubric failure mode, and its answer does not count as a repeated
measurement.
When invoked during planning, compare the currently planned scope against the
originally stated goal. Planned work that cannot be traced to a stated goal
is reported as an escalation gap, exactly like a missing behavior. Reality
Check reports the escalation; the caller decides whether the ambition or the
stated goal changes.
.agents/scratch/reality-check/<run-id>/.reality-check-report.json.reality-check-report.v1 JSON — the checked claim, one finding perconfirmed behavior, concrete gap, incomplete-evidence item, or changed
assumption (each with cited evidence), and, for a completion or status claim,
the goal-by-goal coverage disposition. It carries no verdict, readiness, or
PASS field; the validator rejects one.
skills/reality-check/scripts/validate-output.sh <reality-check-report.json>.
If the claim cannot be tested against any observable evidence, report it as
incomplete-evidence with the missing artifact named — never resolve an
untestable claim as confirmed.
Return the report to the caller. Plan may use concrete gaps to refine the
existing bead or caller intent. Reality Check reports observations; it does not
mint a verdict or PASS of any version, create work, schedule, claim,
implement, validate, retry, or deliver.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take boshu2/reality-check from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.