Files
zeroclaw/src/skillforge/mod.rs
TopherMayor 8c59673eac
Some checks failed
CodeQL Analysis / CodeQL Analysis (push) Has been cancelled
PR Hygiene / nudge-stale-prs (push) Has been cancelled
CI / Detect Change Scope (push) Has been cancelled
Docker / PR Docker Smoke (push) Has been cancelled
Docker / Build and Push Docker Image (push) Has been cancelled
Rust Package Security Audit / Security Audit (push) Has been cancelled
Rust Package Security Audit / License & Supply Chain (push) Has been cancelled
CI / Format & Lint (push) Has been cancelled
CI / Lint Strict Delta (push) Has been cancelled
CI / Test (push) Has been cancelled
CI / Build (Smoke) (push) Has been cancelled
CI / Docs-Only Fast Path (push) Has been cancelled
CI / Non-Rust Fast Path (push) Has been cancelled
CI / Docs Quality (push) Has been cancelled
CI / CI Required Gate (push) Has been cancelled
Stale / stale (push) Has been cancelled
Update Contributors NOTICE / Update NOTICE with new contributors (push) Has been cancelled
feat(cli): add skillforge command for auto-discovery of skills
- Add zeroclaw skillforge run --min-score 0.7 --dry-run
- Add zeroclaw skillforge scout --query "ai agent" --limit 20
- Add zeroclaw skillforge status to show configuration
- Wire SkillForgeConfig into main Config struct
- Add new_with_query method to GitHubScout for custom searches
2026-02-18 03:37:45 +00:00

386 lines
13 KiB
Rust

//! SkillForge — Skill auto-discovery, evaluation, and integration engine.
//!
//! Pipeline: Scout → Evaluate → Integrate
//! Discovers skills from external sources, scores them, and generates
//! ZeroClaw-compatible manifests for qualified candidates.
pub mod evaluate;
pub mod integrate;
pub mod scout;
use anyhow::Result;
use serde::{Deserialize, Serialize};
use tracing::{info, warn};
use self::evaluate::{EvalResult, Evaluator, Recommendation};
use self::integrate::Integrator;
use self::scout::{GitHubScout, Scout, ScoutResult, ScoutSource};
use crate::config::Config;
#[derive(Debug, Clone, clap::Subcommand)]
pub enum SkillforgeCommands {
Run {
#[arg(long, default_value = "0.7")]
min_score: f64,
#[arg(long)]
dry_run: bool,
#[arg(long)]
source: Option<String>,
},
Scout {
#[arg(long, default_value = "zeroclaw skill")]
query: String,
#[arg(long, default_value = "20")]
limit: usize,
},
Status,
}
pub async fn handle_command(command: SkillforgeCommands, config: &Config) -> Result<()> {
let _forge_config = config.skillforge.clone();
match command {
SkillforgeCommands::Run { min_score, dry_run, source } => {
run_forge(config, min_score, dry_run, source).await
}
SkillforgeCommands::Scout { query, limit } => {
run_scout(config, query, limit).await
}
SkillforgeCommands::Status => {
show_status(config)
}
}
}
async fn run_forge(config: &Config, min_score: f64, dry_run: bool, source: Option<String>) -> Result<()> {
println!("🔮 SkillForge Pipeline");
println!(" Min Score: {}", min_score);
println!(" Dry Run: {}", dry_run);
println!(" Source: {}", source.as_deref().unwrap_or("all"));
println!();
let mut forge_config = config.skillforge.clone();
forge_config.enabled = true;
forge_config.min_score = min_score;
forge_config.auto_integrate = !dry_run;
if let Some(src) = source {
forge_config.sources = vec![src];
}
let forge = SkillForge::new(forge_config);
let report = forge.forge().await?;
println!("📊 Results:");
println!(" Discovered: {}", report.discovered);
println!(" Evaluated: {}", report.evaluated);
println!(" Auto-integrated: {}", report.auto_integrated);
println!(" Manual review: {}", report.manual_review);
println!(" Skipped: {}", report.skipped);
println!();
if !report.results.is_empty() {
println!("📋 Top Candidates:");
for (i, res) in report.results.iter().take(10).enumerate() {
let status = match res.recommendation {
Recommendation::Auto => "✅ AUTO",
Recommendation::Manual => "⚠️ REVIEW",
Recommendation::Skip => "❌ SKIP",
};
println!(" {}. {} [{:.2}] {}", i + 1, res.candidate.name, res.total_score, status);
println!(" {}", res.candidate.description.chars().take(60).collect::<String>());
}
}
Ok(())
}
async fn run_scout(config: &Config, query: String, limit: usize) -> Result<()> {
println!("🔍 SkillForge Scout");
println!(" Query: {}", query);
println!(" Limit: {}", limit);
println!();
let github_token = config.skillforge.github_token.clone();
let scout = GitHubScout::new_with_query(github_token, query.clone());
let results = scout.discover().await?;
let limited: Vec<_> = results.into_iter().take(limit).collect();
println!("📋 Found {} candidates:", limited.len());
for (i, candidate) in limited.iter().enumerate() {
println!(" {}. {}", i + 1, candidate.name);
println!(" URL: {}", candidate.url);
println!("{} stars", candidate.stars);
let desc: String = candidate.description.chars().take(60).collect();
if !desc.is_empty() {
println!(" {}", desc);
}
}
Ok(())
}
fn show_status(config: &Config) -> Result<()> {
println!("🔮 SkillForge Status");
println!();
println!("Configuration:");
println!(" Enabled: {}", config.skillforge.enabled);
println!(" Auto-integrate: {}", config.skillforge.auto_integrate);
println!(" Sources: {:?}", config.skillforge.sources);
println!(" Scan interval: {}h", config.skillforge.scan_interval_hours);
println!(" Min score: {:.2}", config.skillforge.min_score);
println!(" Output directory: {}", config.skillforge.output_dir);
println!(" GitHub token: {}", if config.skillforge.github_token.is_some() { "configured" } else { "not set" });
let skills_dir = std::path::Path::new(&config.skillforge.output_dir);
if skills_dir.exists() {
let count = std::fs::read_dir(skills_dir)
.map(|entries| entries.filter_map(|e| e.ok()).count())
.unwrap_or(0);
println!();
println!("Integrated skills: {}", count);
}
Ok(())
}
// ---------------------------------------------------------------------------
// Configuration
// ---------------------------------------------------------------------------
#[derive(Clone, Serialize, Deserialize)]
pub struct SkillForgeConfig {
#[serde(default)]
pub enabled: bool,
#[serde(default = "default_auto_integrate")]
pub auto_integrate: bool,
#[serde(default = "default_sources")]
pub sources: Vec<String>,
#[serde(default = "default_scan_interval")]
pub scan_interval_hours: u64,
#[serde(default = "default_min_score")]
pub min_score: f64,
/// Optional GitHub personal-access token for higher rate limits.
#[serde(default)]
pub github_token: Option<String>,
/// Directory where integrated skills are written.
#[serde(default = "default_output_dir")]
pub output_dir: String,
}
fn default_auto_integrate() -> bool {
true
}
fn default_sources() -> Vec<String> {
vec!["github".into(), "clawhub".into()]
}
fn default_scan_interval() -> u64 {
24
}
fn default_min_score() -> f64 {
0.7
}
fn default_output_dir() -> String {
"./skills".into()
}
impl Default for SkillForgeConfig {
fn default() -> Self {
Self {
enabled: false,
auto_integrate: default_auto_integrate(),
sources: default_sources(),
scan_interval_hours: default_scan_interval(),
min_score: default_min_score(),
github_token: None,
output_dir: default_output_dir(),
}
}
}
impl std::fmt::Debug for SkillForgeConfig {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("SkillForgeConfig")
.field("enabled", &self.enabled)
.field("auto_integrate", &self.auto_integrate)
.field("sources", &self.sources)
.field("scan_interval_hours", &self.scan_interval_hours)
.field("min_score", &self.min_score)
.field("github_token", &self.github_token.as_ref().map(|_| "***"))
.field("output_dir", &self.output_dir)
.finish()
}
}
// ---------------------------------------------------------------------------
// ForgeReport — summary of a single pipeline run
// ---------------------------------------------------------------------------
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ForgeReport {
pub discovered: usize,
pub evaluated: usize,
pub auto_integrated: usize,
pub manual_review: usize,
pub skipped: usize,
pub results: Vec<EvalResult>,
}
// ---------------------------------------------------------------------------
// SkillForge
// ---------------------------------------------------------------------------
pub struct SkillForge {
config: SkillForgeConfig,
evaluator: Evaluator,
integrator: Integrator,
}
impl SkillForge {
pub fn new(config: SkillForgeConfig) -> Self {
let evaluator = Evaluator::new(config.min_score);
let integrator = Integrator::new(config.output_dir.clone());
Self {
config,
evaluator,
integrator,
}
}
/// Run the full pipeline: Scout → Evaluate → Integrate.
pub async fn forge(&self) -> Result<ForgeReport> {
if !self.config.enabled {
warn!("SkillForge is disabled — skipping");
return Ok(ForgeReport {
discovered: 0,
evaluated: 0,
auto_integrated: 0,
manual_review: 0,
skipped: 0,
results: vec![],
});
}
// --- Scout ----------------------------------------------------------
let mut candidates: Vec<ScoutResult> = Vec::new();
for src in &self.config.sources {
let source: ScoutSource = src.parse().unwrap(); // Infallible
match source {
ScoutSource::GitHub => {
let scout = GitHubScout::new(self.config.github_token.clone());
match scout.discover().await {
Ok(mut found) => {
info!(count = found.len(), "GitHub scout returned candidates");
candidates.append(&mut found);
}
Err(e) => {
warn!(error = %e, "GitHub scout failed, continuing with other sources");
}
}
}
ScoutSource::ClawHub | ScoutSource::HuggingFace => {
info!(
source = src.as_str(),
"Source not yet implemented — skipping"
);
}
}
}
// Deduplicate by URL
scout::dedup(&mut candidates);
let discovered = candidates.len();
info!(discovered, "Total unique candidates after dedup");
// --- Evaluate -------------------------------------------------------
let results: Vec<EvalResult> = candidates
.into_iter()
.map(|c| self.evaluator.evaluate(c))
.collect();
let evaluated = results.len();
// --- Integrate ------------------------------------------------------
let mut auto_integrated = 0usize;
let mut manual_review = 0usize;
let mut skipped = 0usize;
for res in &results {
match res.recommendation {
Recommendation::Auto => {
if self.config.auto_integrate {
match self.integrator.integrate(&res.candidate) {
Ok(_) => {
auto_integrated += 1;
}
Err(e) => {
warn!(
skill = res.candidate.name.as_str(),
error = %e,
"Integration failed for candidate, continuing"
);
}
}
} else {
// Count as would-be auto but not actually integrated
manual_review += 1;
}
}
Recommendation::Manual => {
manual_review += 1;
}
Recommendation::Skip => {
skipped += 1;
}
}
}
info!(
auto_integrated,
manual_review, skipped, "Forge pipeline complete"
);
Ok(ForgeReport {
discovered,
evaluated,
auto_integrated,
manual_review,
skipped,
results,
})
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn disabled_forge_returns_empty_report() {
let cfg = SkillForgeConfig {
enabled: false,
..Default::default()
};
let forge = SkillForge::new(cfg);
let report = forge.forge().await.unwrap();
assert_eq!(report.discovered, 0);
assert_eq!(report.auto_integrated, 0);
}
#[test]
fn default_config_values() {
let cfg = SkillForgeConfig::default();
assert!(!cfg.enabled);
assert!(cfg.auto_integrate);
assert_eq!(cfg.scan_interval_hours, 24);
assert!((cfg.min_score - 0.7).abs() < f64::EPSILON);
assert_eq!(cfg.sources, vec!["github", "clawhub"]);
}
}