anentrypoint/textprocessing
skills/textprocessing/SKILL.md
The required surface for any text task whose correctness depends on understanding. Code does mechanics; this skill does meaning. Invoked via Agent(subagent_type='gm:textprocessing', model='haiku', ...).
$ install --global
skillsauthnpx skillsauth add anentrypoint/gm-cc textprocessingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 15, 2026, 3:40 AM19.4s1 file scanned
SKILL.md
- name:
- textprocessing
- description:
- The required surface for any text task whose correctness depends on understanding. Code does mechanics; this skill does meaning. Invoked via Agent(subagent_type='gm:textprocessing', model='haiku', ...).
- allowed-tools:
- Skill
Textprocessing — Meaning goes through Haiku
Invocation
Agent(subagent_type='gm:textprocessing', model='haiku', prompt='## INPUT\n<body>\n\n## INSTRUCTION\n<task>')
Background fire-and-forget: add run_in_background=true. Batch: N parallel Agent calls in one message, one per item.
The split
Mechanics stay in code: char/word/token/line counts, byte length, split on delimiter, exact-string find/replace, regex match/extract, sort, group-by-key, dedup-by-equality, lower/uppercase, JSON parse/stringify, base64, URL encode, hash, diff, format/pretty-print.
Meaning goes through this skill: summarize, classify, extract entities or intents, rewrite for tone or audience, translate, semantic dedup (same meaning, different words), rank or score by quality, label by topic, decide whether two texts are about the same thing, paraphrase, simplify, expand outline → prose, headline-from-body, body-from-headline, fact-from-passage, sentiment, toxicity, relevance, similarity-by-meaning.
The bar: would a human have to read and understand the text to do this correctly? Yes → skill. No → code. A keyword-list, a regex on phrases like "important", or a string-similarity ratio loop deciding meaning is a stub of this skill. Replace it with one (or N parallel) Agent calls.
Batch
Independent items run in parallel — one Agent call per item, all in one message. The runner Promise-allSettles. Sequential calls are wasteful when items don't depend on each other.
For one large body exceeding a single-prompt budget, the caller chunks deterministically (paragraph, section, fixed token count), fans out one Agent per chunk, and merges with a final reducer Agent if cross-chunk synthesis is needed. The agent itself never chunks — it processes whatever it receives in one shot.
Output contract
Plain-text instruction → plain-text output, no fences, no labels. JSON instruction → exactly that JSON, parseable by JSON.parse. Multi-document input requested as a list → one entry per input doc in the same order. Ambiguous shape → defaults to plain text. Empty input → empty output.
Constraints
- Model fixed at
haiku. Escalate to opus only when haiku output fails an acceptance check. - One transform per call. Three parallel calls beats one prompt asking for "summarize AND classify AND translate".
- Idempotent: same input + same instruction → same output, modulo sampling. Strict determinism callers specify
temperature=0in the prompt. - Output is the deliverable. No commentary, no "here is your output".
Related Skills
anentrypoint/gm-zed
data-ai
VerifiedTrustedCommunity
AI-native software engineering via skill-driven orchestration on zed; bootstraps plugkit for task execution and session isolation
35SKILL.mdUpdated May 15, 2026
anentrypoint/gm-vscode
development
VerifiedTrustedCommunity
AI-native software engineering via skill-driven orchestration on vscode; bootstraps plugkit for task execution and session isolation
35SKILL.mdUpdated May 15, 2026
anentrypoint/gm-oc
data-ai
VerifiedTrustedCommunity
AI-native software engineering via skill-driven orchestration on oc; bootstraps plugkit for task execution and session isolation
35SKILL.mdUpdated May 15, 2026
anentrypoint/gm-kilo
data-ai
VerifiedTrustedCommunity
AI-native software engineering via skill-driven orchestration on kilo; bootstraps plugkit for task execution and session isolation
35SKILL.mdUpdated May 15, 2026