executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
validate-referencesCheck BibTeX entries for completeness, DOI resolution, broken links. Verify required fields per entry type (article, book, inproceedings), resolve and validate DOIs via CrossRef API, check URL accessibility, flag duplicate entries, missing abstracts, inconsistent formatting. Use when preparing manuscript bibliography for journal submission, auditing shared …
Independent GitHub snapshot · Automated classification · Original documentation governs
Check BibTeX bibliography entries for completeness, accuracy, consistency. Skill covers verifying required fields per entry type, resolving DOIs via CrossRef API, checking URL accessibility, detecting duplicate entries, producing structured validation report flagging issues by severity. Ensures .bib files publication-ready before rendering.
basic, standard, strict; default: standard)TRUE)TRUE)required_packages <- c("RefManageR", "httr2", "curl")
missing <- required_packages[!vapply(required_packages, requireNamespace,
logical(1), quietly = TRUE)]
if (length(missing) > 0) install.packages(missing)
library(RefManageR)
Got: All packages load without errors.
If err: httr2 unavailable? Install with install.packages("httr2").
For systems without curl headers: sudo apt install libcurl4-openssl-dev.
bib <- RefManageR::ReadBib("references.bib", check = FALSE)
message(sprintf("Loaded %d entries from references.bib", length(bib)))
# Inventory entry types
entry_types <- vapply(bib, function(x) tolower(attr(x, "bibtype")), character(1))
type_counts <- sort(table(entry_types), decreasing = TRUE)
message("Entry types:")
for (type in names(type_counts)) {
message(sprintf(" %s: %d", type, type_counts[[type]]))
}
Got: Summary of entry types (article, book, inproceedings, etc.) and total count matching number of @type{ blocks in file.
If err: Parsing errors indicate malformed BibTeX. Check unmatched braces, missing commas between fields, or invalid UTF-8 characters.
# BibTeX required fields by entry type
required_fields <- list(
article = c("author", "title", "journal", "year"),
book = c("author", "title", "publisher", "year"),
inproceedings = c("author", "title", "booktitle", "year"),
incollection = c("author", "title", "booktitle", "publisher", "year"),
phdthesis = c("author", "title", "school", "year"),
mastersthesis = c("author", "title", "school", "year"),
techreport = c("author", "title", "institution", "year"),
misc = c("author", "title", "year"),
unpublished = c("author", "title", "note")
)
validate_fields <- function(bib) {
issues <- list()
for (i in seq_along(bib)) {
key <- names(bib)[i]
entry_type <- tolower(attr(bib[[i]], "bibtype"))
req <- required_fields[[entry_type]]
if (is.null(req)) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "warning",
message = sprintf("Unknown entry type: %s", entry_type)
)
next
}
for (field in req) {
value <- bib[[i]][[field]]
if (is.null(value) || !nzchar(trimws(as.character(value)))) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "error",
message = sprintf("Missing required field: %s (type: %s)", field, entry_type)
)
}
}
}
issues
}
field_issues <- validate_fields(bib)
message(sprintf("Field validation: %d issues found", length(field_issues)))
Got: List of issues where required fields missing. Zero issues for well-maintained bibliography.
If err: Step runs locally and shouldn't fail. If it does, check .bib file parsed correctly in Step 2.
validate_dois <- function(bib, email = NULL) {
issues <- list()
# Set polite API headers
headers <- list(`User-Agent` = "R-bibliography-validator/1.0")
if (!is.null(email)) {
headers[["mailto"]] <- email
}
for (i in seq_along(bib)) {
key <- names(bib)[i]
doi <- bib[[i]]$doi
if (is.null(doi) || !nzchar(doi)) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "info",
message = "No DOI present"
)
next
}
# Normalize DOI
doi <- gsub("^https?://doi\\.org/", "", doi)
doi <- gsub("^doi:", "", doi, ignore.case = TRUE)
doi <- trimws(doi)
# Resolve via CrossRef
tryCatch({
resp <- httr2::request(sprintf("https://api.crossref.org/works/%s", doi)) |>
httr2::req_headers(!!!headers) |>
httr2::req_timeout(10) |>
httr2::req_perform()
if (httr2::resp_status(resp) != 200) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "error",
message = sprintf("DOI does not resolve: %s (HTTP %d)", doi,
httr2::resp_status(resp))
)
}
}, error = function(e) {
issues[[length(issues) + 1]] <<- list(
key = key, severity = "warning",
message = sprintf("DOI check failed for %s: %s", doi, e$message)
)
})
Sys.sleep(0.5) # Rate limiting
}
issues
}
# Only run online checks if requested
doi_issues <- validate_dois(bib, email = "your.email@example.com")
message(sprintf("DOI validation: %d issues found", length(doi_issues)))
Got: Each DOI resolves successful (HTTP 200 from CrossRef). Entries without DOIs flagged as informational.
If err: Network errors or rate limiting produce warnings rather than hard failures. Set email parameter for higher rate limits from CrossRef polite pool.
validate_urls <- function(bib) {
issues <- list()
for (i in seq_along(bib)) {
key <- names(bib)[i]
url <- bib[[i]]$url
if (is.null(url) || !nzchar(url)) next
tryCatch({
resp <- httr2::request(url) |>
httr2::req_method("HEAD") |>
httr2::req_timeout(10) |>
httr2::req_error(is_error = function(resp) FALSE) |>
httr2::req_perform()
status <- httr2::resp_status(resp)
if (status >= 400) {
issues[[length(issues) + 1]] <- list(
key = key, severity = "warning",
message = sprintf("URL returned HTTP %d: %s", status, url)
)
}
}, error = function(e) {
issues[[length(issues) + 1]] <<- list(
key = key, severity = "warning",
message = sprintf("URL unreachable: %s (%s)", url, e$message)
)
})
Sys.sleep(0.3)
}
issues
}
url_issues <- validate_urls(bib)
message(sprintf("URL validation: %d issues found", length(url_issues)))
Got: All URLs return HTTP 200 (or 301/302 redirects). Broken links flagged.
If err: Some servers block HEAD requests. Retry with GET for failed HEAD checks. Timeout errors common for slow academic servers.
detect_duplicates <- function(bib) {
issues <- list()
# Check for duplicate DOIs
dois <- vapply(bib, function(x) {
d <- x$doi
if (is.null(d)) NA_character_ else tolower(trimws(d))
}, character(1))
doi_table <- table(dois[!is.na(dois)])
dup_dois <- names(doi_table[doi_table > 1])
for (d in dup_dois) {
keys <- names(bib)[which(dois == d)]
issues[[length(issues) + 1]] <- list(
key = paste(keys, collapse = ", "), severity = "error",
message = sprintf("Duplicate DOI %s in entries: %s", d,
paste(keys, collapse = ", "))
)
}
# Check for duplicate titles (fuzzy)
titles <- vapply(bib, function(x) {
t <- x$title
if (is.null(t)) NA_character_ else tolower(gsub("[^a-z0-9 ]", "", tolower(t)))
}, character(1))
seen <- character(0)
for (i in seq_along(titles)) {
if (is.na(titles[i])) next
for (j in seen) {
if (identical(titles[i], titles[as.integer(j)])) {
issues[[length(issues) + 1]] <- list(
key = sprintf("%s, %s", names(bib)[as.integer(j)], names(bib)[i]),
severity = "warning",
message = sprintf("Possible duplicate titles: '%s'",
substr(bib[[i]]$title, 1, 60))
)
}
}
seen <- c(seen, as.character(i))
}
issues
}
dup_issues <- detect_duplicates(bib)
message(sprintf("Duplicate detection: %d issues found", length(dup_issues)))
Got: Zero duplicates for clean bibliography. Any detected duplicates flagged with specific entry keys involved.
generate_report <- function(all_issues, bib, output_file = NULL) {
errors <- Filter(function(x) x$severity == "error", all_issues)
warnings <- Filter(function(x) x$severity == "warning", all_issues)
infos <- Filter(function(x) x$severity == "info", all_issues)
lines <- c(
"# Bibliography Validation Report",
"",
sprintf("**File**: references.bib"),
sprintf("**Entries**: %d", length(bib)),
sprintf("**Date**: %s", Sys.Date()),
"",
sprintf("## Summary: %d errors, %d warnings, %d info",
length(errors), length(warnings), length(infos)),
""
)
if (length(errors) > 0) {
lines <- c(lines, "## Errors", "")
for (issue in errors) {
lines <- c(lines, sprintf("- **[%s]** %s", issue$key, issue$message))
}
lines <- c(lines, "")
}
if (length(warnings) > 0) {
lines <- c(lines, "## Warnings", "")
for (issue in warnings) {
lines <- c(lines, sprintf("- **[%s]** %s", issue$key, issue$message))
}
lines <- c(lines, "")
}
report_text <- paste(lines, collapse = "\n")
if (!is.null(output_file)) {
writeLines(report_text, output_file)
message(sprintf("Report written to %s", output_file))
}
cat(report_text)
invisible(all_issues)
}
all_issues <- c(field_issues, doi_issues, url_issues, dup_issues)
generate_report(all_issues, bib, output_file = "validation-report.md")
Got: Structured markdown report listing all issues grouped by severity.
10.1234/..., https://doi.org/10.1234/..., or doi:10.1234/.... Normalize before comparingemail parameter to join polite pool for higher limits@online where BibTeX uses @misc. Validator should handle bothmanage-bibliography - fix issues found by this validator (dedup, add fields)format-citations - format validated entries into styled citations../reporting/format-apa-report - APA reports need complete, validated references../r-packages/write-vignette - vignettes with citations need valid .bib entries