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, and broken links. Verify required fields per entry type (article, book, inproceedings), resolve and validate DOIs via the CrossRef API, check URL accessibility, and flag duplicate entries, missing abstracts, and inconsistent formatting. Use when preparing a manuscript bibliography for journal submission…
Independent GitHub snapshot · Automated classification · Original documentation governs
Check BibTeX entries for completeness, accuracy, consistency. Covers required fields per entry type, DOI resolution via CrossRef, URL access, dup detection, structured report by severity. Ensures .bib publication-ready before render.
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 pkgs load no errs.
If err: httr2 unavail → install.packages("httr2"). No 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 entry types (article, book, inproceedings, etc.) + total count matching @type{ blocks.
If err: Parsing errs → malformed BibTeX. Check unmatched braces, missing commas between fields, invalid UTF-8.
# 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unpublished = c("author", "title", "note")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 missing. Zero for well-maintained.
If err: Runs locally, no fail expected. If fails → check .bib parsed 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 (HTTP 200 from CrossRef). No-DOI entries flagged informational.
If err: Net errs|rate limiting → warnings not hard fails. Set email for higher rate limits via 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 HTTP 200 (or 301/302 redirects). Broken links flagged.
If err: Some servers block HEAD → retry GET for failed HEAD checks. Timeouts 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]]$title, 1, 60))
)
}
}
seen <- c(seen, as.character(i))
}
issues
}
dup_issues <- detect_duplicates(bib)
message(sprintf("Duplicate detection: %d issues found", length(dup_issues)))
Got: Zero dups for clean. Detected dups flagged w/ specific keys.
generate_report <- function(all_issues, bib, output_file = NULL) {
errors <- Filter(function(x) x$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 md report listing all issues grouped by severity.
10.1234/..., https://doi.org/10.1234/..., or doi:10.1234/.... Normalize before compareemail to join polite pool for higher@online where BibTeX uses @misc. Validator should handle bothmanage-bibliography — fix issues found by validator (dedup, add fields)format-citations — format validated entries into styled citations../reporting/format-apa-report — APA needs complete validated refs../r-packages/write-vignette — vignettes w/ citations need valid .bib entries