feat(scanner): add AGT agent-listing always-loaded budget finding (v5.9 B1)
New AGT scanner flags the aggregate always-loaded cost of the agent listing (every active agent's name+description is injected each turn so the model knows what it can delegate to). Mirrors the SKL skill-listing pattern but encodes the key honesty caveat: the agent-listing mechanism is INFERRED (agents are absent from Claude Code's documented context breakdown), so the token figure is an UPPER-BOUND estimate and the aggregate budget is a config-audit heuristic anchored on 200k — not a CC-documented allotment. - scanners/agent-listing-scanner.mjs + scanners/lib/agent-listing-budget.mjs - 8 TDD tests (tests/scanners/agent-listing-scanner.test.mjs) - AGT folds into the Token Efficiency health area (scoring.mjs) - byte-stability: AGT added to strip-added-scanner (frozen v5.0.0 baselines left untouched, same as OST/OPT); SC-5 default-output snapshot refreshed - suite 1168 -> 1176 green Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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71
scanners/agent-listing-scanner.mjs
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71
scanners/agent-listing-scanner.mjs
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/**
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* AGT Scanner — Agent-listing always-loaded token budget
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*
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* Claude Code injects a listing of every active agent's name+description into the
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* system prompt so it knows which subagents it can delegate to. That listing is
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* re-sent on EVERY turn, whether or not a delegation happens — so with many
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* installed agents it is a large always-loaded cost (on a heavily-plugged machine
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* the dominant single always-loaded source).
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*
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* Detection:
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* CA-AGT-NNN aggregate agent-listing estimate exceeds the listing budget (low)
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*
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* INTELLECTUAL-HONESTY CONTRACT (the reason this is `low`, not a hard finding):
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* unlike the skill listing, the agent-listing mechanism is NOT documented (agents
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* are absent from Claude Code's published context breakdown). So the finding is an
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* INFERRED, UPPER-BOUND ESTIMATE, the budget is a config-audit heuristic (no
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* documented agent allotment) anchored on a conservative 200k window, and the
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* evidence discloses all of that. The cap, budget, and enumerate-and-measure step
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* live in `lib/agent-listing-budget.mjs` — AGT only constructs the finding.
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*
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* Zero external dependencies.
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*/
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import { finding, scannerResult } from './lib/output.mjs';
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import { SEVERITY } from './lib/severity.mjs';
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import {
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AGGREGATE_BUDGET_TOKENS,
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BUDGET_CALIBRATION_NOTE,
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measureActiveAgentListing,
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} from './lib/agent-listing-budget.mjs';
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const SCANNER = 'AGT';
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/**
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* Main scanner entry point.
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*
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* @param {string} _targetPath unused (agent listing is HOME-scoped)
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* @param {object} _discovery unused (ignores project discovery)
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*/
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export async function scan(_targetPath, _discovery) {
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const start = Date.now();
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const findings = [];
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const { aggregate } = await measureActiveAgentListing();
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if (aggregate.overBudget) {
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findings.push(finding({
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scanner: SCANNER,
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severity: SEVERITY.low,
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title: 'Aggregate agent listing may exceed the always-loaded budget',
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description:
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`The ${aggregate.scanned} active agents carry about ${aggregate.aggregateTokens} tokens of ` +
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'name+description text that Claude Code injects every turn so it knows which subagents it can ' +
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`delegate to — above the ${AGGREGATE_BUDGET_TOKENS}-token budget this scanner anchors on a 200k ` +
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'context window. Every one of those tokens is re-sent on every turn whether or not you delegate. ' +
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'Note: unlike the skill listing, the agent-listing always-loaded mechanism is inferred (not ' +
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'documented), so this is an upper-bound estimate (see evidence).',
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evidence:
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`active_agents_scanned=${aggregate.scanned}; description_chars=${aggregate.aggregateChars}; ` +
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`description_tokens~${aggregate.aggregateTokens}; budget@200k=${AGGREGATE_BUDGET_TOKENS} tok; ` +
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`over_by~${aggregate.overBy} tok - ${BUDGET_CALIBRATION_NOTE}`,
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recommendation:
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'Shrink the always-loaded agent listing: disable plugins whose agents you do not use (the whole ' +
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'agent block leaves the listing), remove dead user agents from ~/.claude/agents/, and trim long ' +
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'agent descriptions toward their trigger phrases.',
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category: 'token-efficiency',
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}));
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}
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return scannerResult(SCANNER, 'ok', findings, aggregate.scanned, Date.now() - start);
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}
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123
scanners/lib/agent-listing-budget.mjs
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123
scanners/lib/agent-listing-budget.mjs
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/**
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* Agent-listing budget — single source of truth for the AGT scanner.
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*
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* Claude Code injects a listing of every active agent's name+description into the
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* system prompt so the model knows which subagents it can delegate to. With many
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* installed agents that listing is a large always-loaded cost: re-sent every turn
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* whether or not a delegation actually happens.
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*
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* CRUCIAL HONESTY CAVEAT — this is why AGT differs from SKL. Unlike the skill
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* listing (documented ~2% allotment, CC 2.1.32; verified 1,536-char truncation
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* cap, CC 2.1.105), the agent-listing mechanism is NOT documented — agents are
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* absent from Claude Code's published context breakdown. Therefore:
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* - "always-loaded" is INFERRED (reasoned from the skill analogue + agents'
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* absence from the deferred/on-demand list), not documented.
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* - the token figure is an UPPER-BOUND ESTIMATE, not measured telemetry.
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* - there is no documented per-listing allotment, so the aggregate budget is a
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* config-audit heuristic anchored — by analogy to the skill listing — on a
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* conservative 200k window, and the evidence says so loudly.
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* - there is no verified per-description truncation cap, so (unlike CA-SKL-001)
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* each description contributes its FULL length to the aggregate.
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*
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* Zero external dependencies.
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*/
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import { estimateTokens, enumeratePlugins, enumerateAgents } from './active-config-reader.mjs';
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import { readTextFile } from './file-discovery.mjs';
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import { parseFrontmatter } from './yaml-parser.mjs';
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import { CONTEXT_WINDOW_ANCHOR, LARGE_CONTEXT_WINDOW, withCommas } from './context-window.mjs';
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// Heuristic budget by analogy to the skill listing's documented ~2% allotment.
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// Agents have NO documented allotment of their own — disclosed loudly in
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// BUDGET_CALIBRATION_NOTE so the number is never mistaken for a CC guarantee.
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export const BUDGET_FRACTION = 0.02;
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export const AGGREGATE_BUDGET_TOKENS = Math.round(BUDGET_FRACTION * CONTEXT_WINDOW_ANCHOR); // 4000
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export const LARGE_CONTEXT_BUDGET_TOKENS = Math.round(BUDGET_FRACTION * LARGE_CONTEXT_WINDOW); // 20000
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export { CONTEXT_WINDOW_ANCHOR, LARGE_CONTEXT_WINDOW, withCommas };
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// The honest framing required because (a) the mechanism is inferred and (b) the
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// budget depends on a context window we cannot observe. Appended to overflow evidence.
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export const BUDGET_CALIBRATION_NOTE =
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'the agent-listing always-loaded mechanism is INFERRED, not documented (agents are absent from ' +
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"Claude Code's published context breakdown), so this token figure is an UPPER-BOUND ESTIMATE, not " +
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'measured telemetry. unlike the skill listing there is no documented per-listing allotment, so this ' +
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'budget is a config-audit heuristic anchored on a conservative 200k window; at ' +
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`${withCommas(LARGE_CONTEXT_WINDOW)} context the budget is ~${withCommas(LARGE_CONTEXT_BUDGET_TOKENS)} ` +
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'tok and you are likely within it';
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/**
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* @typedef {object} AgentBudgetAssessment
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* @property {number} scanned - number of agent descriptions assessed
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* @property {number} aggregateChars - sum of description lengths (no cap; no verified truncation)
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* @property {number} aggregateTokens - estimateTokens(aggregateChars, 'markdown')
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* @property {number} budgetTokens - AGGREGATE_BUDGET_TOKENS (the 200k-anchored heuristic)
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* @property {boolean} overBudget - aggregateTokens strictly greater than budgetTokens
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* @property {number} overBy - tokens over budget (0 when not over)
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*/
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/**
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* Pure aggregate-budget assessment. Each description contributes its full length:
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* agents have no verified truncation cap, so nothing is dropped from the estimate.
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*
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* @param {number[]} descLengths - one entry per active agent (description char count)
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* @returns {AgentBudgetAssessment}
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*/
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export function assessAgentListingBudget(descLengths) {
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let aggregateChars = 0;
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for (const len of descLengths) {
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const safe = (typeof len === 'number' && Number.isFinite(len) && len > 0) ? len : 0;
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aggregateChars += safe;
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}
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const aggregateTokens = estimateTokens(aggregateChars, 'markdown');
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const overBudget = aggregateTokens > AGGREGATE_BUDGET_TOKENS;
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return {
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scanned: descLengths.length,
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aggregateChars,
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aggregateTokens,
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budgetTokens: AGGREGATE_BUDGET_TOKENS,
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overBudget,
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overBy: overBudget ? aggregateTokens - AGGREGATE_BUDGET_TOKENS : 0,
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};
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}
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/**
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* @typedef {object} ActiveAgentEntry
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* @property {string} name
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* @property {'user'|'plugin'} source
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* @property {string|null} pluginName
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* @property {string} path
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* @property {number} descLength
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*/
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/**
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* Enumerate every active agent (user + plugin) and measure the listing budget.
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* HOME-scoped (mirrors the skill listing): resolves ~/.claude via process.env.HOME
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* and excludes project-scoped agents — those load only inside their own repo.
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* Callers that run under test MUST override HOME (runScannerWithHome pattern).
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*
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* @returns {Promise<{ agents: ActiveAgentEntry[], aggregate: AgentBudgetAssessment }>}
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*/
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export async function measureActiveAgentListing() {
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const plugins = await enumeratePlugins();
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// enumerateAgents yields project + user + plugin; drop project (repo-local).
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const allAgents = await enumerateAgents('', plugins);
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const agents = [];
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for (const agent of allAgents) {
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if (!agent || agent.source === 'project' || typeof agent.path !== 'string') continue;
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const content = await readTextFile(agent.path);
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if (!content) continue;
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const fm = parseFrontmatter(content)?.frontmatter || null;
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const desc = (fm && typeof fm.description === 'string') ? fm.description : '';
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agents.push({
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name: agent.name,
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source: agent.source,
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pluginName: agent.pluginName,
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path: agent.path,
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descLength: desc.length,
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});
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}
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const aggregate = assessAgentListingBudget(agents.map((a) => a.descLength));
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return { agents, aggregate };
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}
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@ -166,6 +166,7 @@ const SCANNER_AREA_MAP = {
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TOK: 'Token Efficiency',
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CPS: 'Token Efficiency',
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SKL: 'Token Efficiency',
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AGT: 'Token Efficiency',
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DIS: 'Settings',
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COL: 'Plugin Hygiene',
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OST: 'Settings',
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@ -29,6 +29,7 @@ import { scan as scanCachePrefix } from './cache-prefix-scanner.mjs';
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import { scan as scanDisabledInSchema } from './disabled-in-schema-scanner.mjs';
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import { scan as scanCollision } from './collision-scanner.mjs';
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import { scan as scanSkillListing } from './skill-listing-scanner.mjs';
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import { scan as scanAgentListing } from './agent-listing-scanner.mjs';
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import { scan as scanOutputStyle } from './output-style-scanner.mjs';
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import { scan as scanOptimizationLens } from './optimization-lens-scanner.mjs';
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@ -66,6 +67,7 @@ const SCANNERS = [
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{ name: 'DIS', fn: scanDisabledInSchema, label: 'Disabled-In-Schema' },
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{ name: 'COL', fn: scanCollision, label: 'Plugin Skill Collision' },
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{ name: 'SKL', fn: scanSkillListing, label: 'Skill-Listing Budget' },
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{ name: 'AGT', fn: scanAgentListing, label: 'Agent-Listing Budget' },
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{ name: 'OST', fn: scanOutputStyle, label: 'Output-Style Validation' },
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{ name: 'OPT', fn: scanOptimizationLens, label: 'Optimization Lens' },
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];
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