Reconstruct a repository as cited entry-to-test flows and bounded claims. Triggers: "codebase recon", "trace this codebase", "repository audit", "refresh the prior recon".
npx skills add https://github.com/boshu2/agentops --skill codebase-recon
Build a reusable, falsifiable model of a repository. This skill reports what
the tree and executable probes support; it does not edit code or issue a final
PASS/WARN/FAIL verdict.
source-of-truth precedence.
fact and inference.
instead of rewriting unchanged evidence as fresh discovery.
One skill replaces a cluster of loose recon skills. Steer it with mode, view
emphasis, lens, and depth — do not invent a second skill for each shape.
| Control | Values | Use when |
|---|---|---|
| Mode | baseline \| delta | First pack vs refresh after a prior recon |
| View emphasis | mental model · bounded audit · pattern evidence · synthesis | Archaeology-style map, audit-style findings, pattern harvest, or executive synthesis |
| Lens | persistence · auth · CLI · build · test (one per pass) | Domain-deep cut instead of a shallow whole-tree sweep |
| Depth | quick · standard · deep | Orientation vs onboarding vs decision-grade evidence |
Ask for the shape explicitly, for example:
codebase-recon --mode=delta --view=audit --lens=cli --depth=standard
codebase-recon baseline, mental-model view, persistence lens, deep
Natural-language equivalents count. The durable pack still carries all four
views; emphasis changes what you spend tokens on and what the companion report
leads with. Pattern packaging beyond evidence pointers belongs in
pattern-mining. Binding PASS/FAIL stays with
validate.
precedence. Search for a prior recon pack before starting.
baseline mode. If one exists, verify itsstill-valid claims against the current commit and use delta mode. Preserve
valid evidence by reference and describe only changed paths and synthesis.
boundary, and test. Prefer a few complete flows over a broad file inventory.
evidence, and synthesis. Label each claim fact, inference, or unknown,
assign confidence, and cite evidence for facts and inferences.
report, then run the validator. Missing evidence and hidden coverage gaps are
contract failures, not prose caveats.
Enter through what the repository declares about itself — README, architecture
docs, build manifests, CLI help — and only then verify those declarations
against the tree. Before the first broad search, list the declared entry points
and trace at least one of them to code. The named failure mode is grep-first
drift: opening with keyword sweeps builds a model of whatever happened to
match, and the recon inherits the search terms' blind spots instead of the
repository's actual shape. When declaration and code disagree, that is a
finding, not noise: record the doc's claim as inference, the traced behavior
as fact, and cite both.
Each pass adopts exactly one lens — persistence, auth, CLI surface, build
system, test harness — and follows it from entry point through domain logic to
its tests before switching lenses. A pass ends in exactly one of two states:
the lens has one complete entry-to-test flow, or the report names the file and
line where the trace was cut and why. The named failure mode is the shallow
sweep: touching every directory at depth one produces a file inventory that
reads like a model but supports no claim, because no path was followed far
enough to falsify anything.
The durable output doc earns its keep only if a future reader can re-verify a
claim without redoing the recon. Every fact cites file:line; every
inference cites the file:line facts it rests on. A claim that cannot be
cited is downgraded to unknown before the report ships — never shipped
uncited at its original confidence. The manifest validator accepts a bare file
path (it requires the path resolve to an existing regular file, so a bare
directory is rejected as a coverage gap), but does not require the line number;
hold the companion report to the stricter floor: a path without a line is a
pointer to homework, not a citation, and counts as a coverage gap in the
report's own terms.
When reconstructing a repository other than the one that ships this skill, pass
--repo-root <target> to the validator so evidence resolves against the target
tree rather than the skill's own checkout.
.agents/recon/<run-id>/codebase-recon.json with companion reportcodebase-recon.md in the same directory.
codebase-recon.v1 JSON manifest plus an evidence-cited Markdownreport covering the same commit, mode, flows, claims, and scope boundaries.
skills/codebase-recon/scripts/validate-output.sh <codebase-recon.json>validates the machine-readable manifest; the cited Markdown report remains
its human-readable companion.
research, planning, review, or documentation workflow; the consumer owns any
decision or code-change plan.
Baseline manifests carry at least one complete entry-to-test flow. Delta
manifests name an existing prior recon, prove baseline_verified: true, and
describe at least one changed path. Every manifest lists both inspected and
uninspected scope.
The validator is the machine boundary:
skills/codebase-recon/scripts/validate-output.sh <recon.json>
Evidence entries are existing file paths, optionally followed by a line number.
Delta manifests require an existing prior pack, baseline_verified: true, and
at least one described change.
Executable behavior:
references/codebase-recon.feature.
visibly typed and never masquerade as established behavior.
while inspected and uninspected scope stay explicit.
handed to a downstream consumer.
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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
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React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take boshu2/codebase-recon 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.