a2a-source-edit: remove README.md

README.md

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-# revenue-recovery-agent
-
-A deterministic, dry-run A2A agent that identifies recoverable subscription revenue and prepares respectful, policy-compliant recovery actions without autonomously charging, refunding, changing subscriptions, sending messages, or updating CRM.
-
-## Public skills
-
-The Agent Card exposes exactly five typed skills:
-
-1. `analyze_revenue_leakage` — ingests authorized billing/subscription/usage/CRM/support snapshots or deterministic synthetic fixtures, reconciles records, classifies leakage, estimates recoverable amount and confidence intervals, and writes `leakage.json`.
-2. `prioritize_accounts` — prioritizes tokenized accounts by value, likelihood, customer risk, and policy blockers, and writes `prioritized-accounts.json`.
-3. `propose_recovery` — prepares remediation recommendations and respectful message drafts, each with immutable plan digest and explicit approval boundary, and writes `recovery-plans.json`.
-4. `validate_recovery` — validates plans against consent, suppression, jurisdiction, dispute, brand, and prohibited-action rules, and writes `compliance-report.json`.
-5. `generate_campaign_pack` — generates an approval-ready campaign pack and measurement plan, and writes `campaign-pack.md` plus `measurement-plan.json`.
-
-## Safety and policy boundary
-
-- `dry_run=true` is enforced by schema validation.
-- No LLM calls are made; caller LLM credentials are not required.
-- No external HTTP calls are made. Egress is denied by default.
-- Consumer integration setup fields are declared for future read-only adapters, but synthetic/provided snapshots are used by this implementation.
-- All customer identifiers are tokenized; outputs must not include emails, phone numbers, card data, bank details, or raw CRM notes.
-- Protected trait metadata keys are rejected.
-- Prompt-injection-like and SSRF-like values are rejected or reported as critical safety findings.
-- Any future external action must require `I_APPROVE_THE_LISTED_STEPS:<immutable_plan_digest>`; this version only prepares plans.
-
-## Outputs
-
-The agent persists redacted artifacts under:
-
-```text
-outputs/revenue-recovery/{run_id}/
-```
-
-The synthetic full workflow produces:
-
-- `leakage.json`
-- `prioritized-accounts.json`
-- `recovery-plans.json`
-- `compliance-report.json`
-- `campaign-pack.md`
-- `measurement-plan.json`
-
-Individual skills write their own stage output; `generate_campaign_pack` runs the deterministic synthetic pipeline when intermediate inputs are not supplied and writes the campaign/measurement artifacts.
-
-## Example smoke payload
-
-```json
-{
-  "request": {
-    "tenant_id": "tenant-acme",
-    "use_synthetic_data": true,
-    "policy": {"dry_run": true}
-  }
-}
-```
-
-Call it against `analyze_revenue_leakage` or provide the analogous `request` object to any of the five skills.
-
-## Tests
-
-Focused tests cover:
-
-- Agent Card skill/schema contract
-- Reconciliation and duplicate-invoice double-count prevention
-- Suppression and dispute blockers
-- Confidence scoring bounds and intervals
-- Fairness/privacy rejection of protected trait and malicious inputs
-- SSRF-style endpoint blocking
-- Idempotent deterministic analysis
-- Synthetic campaign pack artifact generation