Claude Sonnet 5.5 on Fill and submit job applications from a resume
AClaude Sonnet 5.5 · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-14 · by @bobsiopener
- Estimated cost
- $0.05
- Wall time
- 11s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
This is a sandboxed mock job portal. resume.json is the candidate. forms/ has two job application forms (field definitions). For each form, write a JSON file {"job_id": ..., "answers": {field_name: value}} filled truthfully from the resume (never invent facts), then submit it with: python3 submit.py <file>. Fix and resubmit if rejected. Both applications must end up SUBMITTED.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): This is a sandboxed mock job portal. resume.json is the candidate. forms/ has two job application forms (field definitions). For each form, write a JSON file {"job_id": ..., "answers": {field_name: value}} filled truthfully from the resume (never invent facts), then submit it with: python3 submit.py <file>. Fix and resubmit if rejected. Both applications must end up SUBMITTED. Inspired by https://x.com/SAkasxh/status/2104655629021565156 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost shown is a list-price API-equivalent estimate (run on a Claude Pro subscription, not billed).
Success criteria: All automated rubric checks pass: ACME submitted; Globex submitted; ACME identity fields match resume; ACME years_experience = 6-9; ACME authorized = yes; ACME skills only from resume; Globex names/title/email match; Globex relocation false; Globex salary = 165000; Globex linkedin from resume (if given).
Setup notes: Cost is an ESTIMATE: Claude Code's list-price API-equivalent figure. The run used a Claude Pro subscription, so nothing was billed. input_tokens = all input incl. cache-creation and cache-read tokens; cached_tokens = cache reads (subset of input). Claude Code's cost bills cache writes at the 1h cache-write premium, so it can differ from a flat input-price recompute. Web disabled; tools Read/Write/Edit/Glob/Grep/Bash; single run; scored automatically (10/10 checks).
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.05
- Wall time
- 11s
- Human step-ins
- 0
- Turns
- 3
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Sonnet 5.5anthropic/claude-sonnet-5.5 | 58,069 | 1,001 | $0.05 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5) via
Claude Code 2.1.299 (headless -p), cloud. - It counts as a success only if it meets every success criterion: All automated rubric checks pass: ACME submitted; Globex submitted; ACME identity fields match resume; ACME years_experience = 6-9; ACME authorized = yes; ACME skills only from resume; Globex names/title/email match; Globex relocation false; Globex salary = 165000; Globex linkedin from resume (if given).
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{
"duration_api_ms": 9678,
"stop_reason": "end_turn",
"session_id": "[REDACTED]",
"total_cost_usd": 0.0464628,
"usage": {
"input_tokens": 6,
"cache_creation_input_tokens": 7855,
"cache_read_input_tokens": 50208,
"output_tokens": 1001,
"output_tokens_details": {
"thinking_tokens": 107
},
"server_tool_use": {
"web_search_requests": 0,
"web_fetch_requests": 0
},
"service_tier": "standard",
"cache_creation": {
"ephemeral_1h_input_tokens": 7855,
"ephemeral_5m_input_tokens": 0
},
"inference_geo": "global",
"iterations": [
{
"input_tokens": 2,
"output_tokens": 257,
"cache_read_input_tokens": 19701,
"cache_creation_input_tokens": 693,
"cache_creation": {
"ephemeral_5m_input_tokens": 0,
"ephemeral_1h_input_tokens": 693
},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
"claude-sonnet-5-5": {
"inputTokens": 6,
"outputTokens": 1001,
"cacheReadInputTokens": 50208,
"cacheCreationInputTokens": 7855,
"webSearchRequests": 0,
"costUSD": 0.0464628,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 107,
"canonicalModel": "claude-sonnet-5-5",
"provider": "firstParty",
"costBasis": "list"
}
},
"permission_denials": [],
"terminal_reason": "completed",
"fast_mode_state": "off",
"fast_mode_disabled_reason": "sdk_opt_in_required",
"subagent_stats": {
"spawned": 0,
"requested": {
"background": 0,
"foreground": 0,
"unset": 0
},
"started_in_background": 0,
"max_depth": 0,
"spawned_by_subagents": 0,
"completed": 0,
"failed": 0,
"killed": {
"parent": 0,
"user": 0,
"system": 0
},
"refused": {
"depth_limit": 0,
"concurrency_limit": 0,
"budget": 0
},
"by_type": {}
},
"safety_stops": 0,
"is_error": false,
"num_turns": 3,
"subtype": "success",
"api_error_status": null,
"result": "Both applications were accepted on the first try, and `submit.py` printed SUBMITTED for each, so nothing needed fixing or resubmitting. The answer files are `acme.json` and `glx.json` in the working directory.\n\n- **ACME-1042 (Data Engineer):** I picked Python, SQL and Spark as the three skills from the resume that the form offers (it allows at most three). Seven years of experience falls in the \"6-9\" option.\n- **GLX-77 (Analytics Engineer):** open to relocation is `false`, matching the resume, and desired salary is 165000.\n\nI wrote the \"why Acme\" text and the Globex cover note myself, using only facts from the resume: title, years of experience and skills. Both are within their word limits, but you may want to read them before relying on them.",
"ttft_ms": 2232,
"type": "result",
"duration_ms": 10165,
"uuid": "[REDACTED]",
"ttft_stream_ms": 1658,
"time_to_request_ms": 356,
"first_content_frame_ms": 1659,
"queued_turn_count": 0,
"result_index": 0
}