--- name: tax-evolve version: 1.0.0 category: 内容创作 trigger_words: tags: platform: coze source: DeepseekModel source_url: https://deepseekmodel.com/skill?id=fangyi-chen-supertaxagent-skills-tax-evolve-skill-md --- name tax-evolve description Analyze comparison diffs, classify discrepancies, and generate fixes to skill files and references. Logs patterns to evolution-log.json and invokes tax-publish when fixes are ready. Use after running tax-compare. allowed-tools ["Read","Write","Edit","Bash","Glob","Grep"] Tax Agent Self-Evolution Analyze discrepancies found by /tax-compare , classify root causes, generate fixes to skill files and references, and submit improvements as a GitHub PR. Prerequisites data/comparison-{year}.json must exist. If not, tell the user to run /tax-compare first. data/tax-calculation.json must exist (for tax year context). Privacy Contract (CRITICAL — read before every step) NEVER include user PII in any generated file changes. This means: Never write actual dollar amounts from the user's return into skill files or references. Never include the user's name, SSN, address, employer, or any personal data. Only include: which 1040 line was wrong (by line number), the direction of the error (+/-), the percentage error, and the corrected calculation rule. When logging to evolution-log.json , store only line numbers, deltas, and classification — never raw values that could identify a taxpayer. Steps Step 1: Load Comparison Data Read data/comparison-{year}.json . Identify all entries with status: "mismatch" or status: "missing_ours" . If there are no mismatches, tell the user: "Great news — no discrepancies found! No fixes needed." And stop. Step 2: Classify Each Discrepancy For each mismatch, classify it into one of three categories by reasoning about the line: calculation_error — The interview collected the right data, but the formula in tax-calculate or its references ( brackets-2025.md , credits-2025.md ) produced the wrong result. Signs: Income lines (1a, 11, 15) are correct but credits or deductions lines (19, 21, 24) differ. Action: Edit skills/tax-calculate/SKILL.md or the relevant reference file. missing_data — The interview did not ask a question needed to correctly compute this line. Signs: A line is missing_ours (zero in our return, non-zero in reference) for a deduction or credit the user is entitled to. Action: Propose new interview questions for skills/tax-start/SKILL.md . missing_domain — The discrepancy involves an income or deduction type that has no dedicated domain skill yet (e.g., Schedule C self-employment, HSA, student loan interest). Signs: An entire schedule or section is zero in our return but non-zero in reference. Action: Propose a new tax-domain-* skill scaffold. Document the classification for each mismatch before proceeding to fixes. Step 3: Check Evolution Log for Patterns Read data/evolution-log.json (create it if it does not exist with {"entries": []} ). Look for lines that have appeared as mismatches in previous runs (same line field). If any line has appeared 2 or more times: "Line {N} ({description}) has appeared as a mismatch in {count} previous runs. This suggests a systemic gap — proposing a domain skill scaffold rather than a one-off fix." Upgrade the classification of repeat offenders to missing_domain if appropriate. Step 4: Generate Fixes For each classified discrepancy, generate the actual file changes. Do NOT write files yet — collect all proposed changes first. For calculation_error : Identify which reference file or SKILL.md section contains the incorrect formula. Use Grep to find the relevant calculation step in skills/tax-calculate/SKILL.md . Check skills/tax-calculate/references/credits-2025.md for credit phase-out rules. Check skills/tax-calculate/references/brackets-2025.md for bracket amounts. Draft the corrected rule. Example: Wrong: CTC = number_of_qualifying_children * 2000 (no phase-out applied) Fixed: CTC = number_of_qualifying_children * 2000, reduced by $50 for each $1,000 of MAGI above $400,000 (MFJ) / $200,000 (other) Prepare an Edit operation for the relevant file. For missing_data : Identify which section of the tax-start interview would logically include the missing question. Draft the new question(s) to add. Example: Missing: Estimated tax payments (Line 26) New question: "Did you make any estimated tax payments during the year? If so, enter the total amount paid." Prepare an Edit operation for skills/tax-start/SKILL.md . For missing_domain : Identify the income/deduction type. Draft a new skill scaffold following the domain skill template from the spec: --- name: tax-domain-{name} description: [domain] tax rules. Invoked by core skills when [trigger]. allowed-tools: [Read, Write, Edit, AskUserQuestion] --- ## Trigger Conditions ## Interview Questions ## Data Schema ## Calculation Rules ## References Prepare Write operations for skills/tax-domain-{name}/SKILL.md and an empty skills/tax-domain-{name}/references/ placeholder. Step 5: Show Proposed Changes to User Before writing any files, present all proposed changes for review: Proposed fixes for 3 discrepancies: ============================================================ 1. [calculation_error] Line 19 — Child Tax Credit File: skills/tax-calculate/references/credits-2025.md Change: Add MAGI phase-out rule for CTC above $200,000/$400,000 2. [missing_data] Line 26 — Estimated Tax Payments File: skills/tax-start/SKILL.md Change: Add question about estimated quarterly tax payments 3. [missing_domain] Line 17 — Rental Income (Schedule E) New file: skills/tax-domain-rental/SKILL.md Change: New domain skill scaffold for rental property income ============================================================ Proceed with these changes? (yes/no/review ) If the user says yes , proceed to Step 6. If the user says no , stop and do not write anything. If the user says review 2 , show the full diff for change #2 and ask again. Allow the user to exclude specific changes before proceeding. Step 6: Apply Approved Fixes Apply only the changes the user approved. Use Edit for modifications to existing files, Write for new files. After applying changes, run a quick sanity check: ls skills/tax-calculate/references/ ls skills/tax-start/SKILL.md Step 7: Update Evolution Log Append an entry to data/evolution-log.json : { "date" : "2026-04-02" , "comparisonFile" : "data/comparison-2025.json" , "lines" : [ { "line" : "19" , "description" : "Child tax credit" , "deltaDirection" : "under" , "deltaPercent" : 17.6 , "classification" : "calculation_error" , "resolved" : true , "fixFile" : "skills/tax-calculate/references/credits-2025.md" } ] } Fields to include per line entry: line — 1040 line number (string, e.g., "19") description — human-readable description deltaDirection — "over" (our value higher) or "under" (our value lower) deltaPercent — absolute percentage difference, e.g., 17.6 for 17.6% off classification — one of calculation_error , missing_data , missing_domain resolved — true if a fix was applied this run, false if skipped fixFile — the file that was changed (if resolved), else null Do NOT store actual dollar amounts in the log. Step 8: Invoke tax-publish If at least one fix was applied, tell the user: "Fixes applied. Ready to submit as a GitHub PR. Invoking /tax-publish ..." Then invoke /tax-publish evolve-{year}-fixes . If no fixes were applied (user declined all), say: "No changes were applied. You can run /tax-evolve again after reviewing the comparison data." Error Handling If data/comparison-{year}.json is missing or has no mismatch entries, tell the user and stop. If data/evolution-log.json is corrupted, create a fresh one with {"entries": []} and warn the user. If a referenced skill file does not exist (e.g., skills/tax-calculate/references/credits-2025.md ), tell the user which file needs to be created first and stop. If the user declines to proceed in Step 5, do not write any files.