Chalk Labs
Need help deploying reconify-engine-debug?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/reconifyhq-reconify-engine-debug
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/reconify-engine-debug
What's inside
- Skill name
reconify-engine-debug- Description
- Diagnose unexpected Reconify results. Use when counters, exception events, duplicates, or grouped matches disagree with the expected business scenario.
- License
- MIT
- Instructions
- 72 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Reconify Engine Debug Trace the first unsupported assumption; preserve the original config and result as evidence. ## 1. Gather first-line evidence ```bash reconify verify --config reconify.yaml --pair PAIR ``` Read the failing checks before reading any events. `result_reproducible` failing means the retained `result.json` is stale or the run is not deterministic: regenerate it before trusting its counters. `explanation_consistent` failing means `explanation.json` does not describe that result: regenerate it. A `source_check` failure points at the mapping or `file_pattern` that no longer fits the file. When every check passes, the artifacts are sound and the cause is in the mapping or policy. ## 2. Read the result contract and explanation ```bash reconify schema result reconify explain RESULT > explanation.json ``` For NDJSON, inspect individual events as well as the final summary. This checkpoint is complete when the unexpected counter is tied to concrete event rows and source names. ## 3. Trace symptom to cause | Symptom | First evidence to test | |---|---| | Everything unmatched | Both `ref_col` mappings contain the same identifier domain; both date layouts parse | | Similar `amount_diff` values | A documented fee or FX policy explains the magnitude | | `financial_effect_diff` events | The mapped field, expectation form, percentage base/rate, tolerance, and sign operation explain the difference | | `settlement_diff` events | Gross, net, and configured effect components do not satisfy the declared settlement identity | | `financial_unchecked` events | The field is mapped but no expectation is configured; treat it as informational unless the business requires a rule | | Amounts differ by a factor of 100 | Both source multipliers express the same minor unit | | One- or two-day `timing_diff` events | A documented settlement delay explains the offset | | Duplicate events | The mapped reference is unique, or the config intentionally groups repeats | | Ambiguous groups | The chosen group key and pass express the real cardinality | | Empty names | Each parser maps the intended name column | This checkpoint is complete when one mapping, parser rule, pass, or business policy explains the observed rows. ## 4. Prove the correction Reduce the inputs to the smallest fixture that retains the symptom. Correct the mapping or parser first; change a tolerance only after identifying the exact rows it would newly absorb and confirming they are the same transaction. Then rerun: ```bash reconify config validate --config reconify.yaml reconify config check-source --config reconify.yaml --source SOURCE --file INPUT reconify reconcile --config reconify.yaml --pair PAIR --format json \ --result-mode all --deterministic --out corrected-result.json reconify explain corrected-result.json > corrected-explanation.json ``` Debugging is complete when the reduced fixture proves the correction, the full run preserves all expected counters, and the report names the causal config change. A lower match rate is acceptable; silencing an unverified financial difference is not. Financial differences are independent of ordinary matching. Do not widen `amount_tolerance_minor` to hide a fee or settlement discrepancy; correct the financial expectation or source mapping instead. When the correction ends the task, promote the corrected artifacts to `result.json` and `explanation.json`, require `reconify verify` to pass, and report them using the completion checklist in `../reconify-engine-reconcile/SKILL.md`.
From reconifyhq/reconify, MIT.
More from reconifyhq/reconify
- 0.626score
reconify-engine-config
reconifyhq
Configure Reconify from real input files.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-reconcile
reconifyhq
Reconcile unfamiliar financial files end to end.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-bootstrap
reconifyhq
Bootstrap a Reconify workspace.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-ci
reconifyhq
Automate Reconify in CI.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-cli
reconifyhq
Resolve Reconify CLI behavior from the installed binary.
SkillAFreshness: A★ 8Claude Code +9 - 0.587score
reconify-engine-performance
reconifyhq
Fit Reconify runs within resource limits.
SkillBFreshness: B★ 8Claude Code +9 - 0.547score
reconify-performance
reconifyhq
Compatibility alias for reconify-engine-performance.
SkillBFreshness: B★ 8Claude Code +9 - 0.547score
reconify-config
reconifyhq
Compatibility alias for reconify-engine-config.
SkillBFreshness: B★ 8Claude Code +9 - 0.547score
reconify-debug
reconifyhq
Compatibility alias for reconify-engine-debug.
SkillBFreshness: B★ 8Claude Code +9 - 0.547score
reconify-cli
reconifyhq
Compatibility alias for reconify-engine-cli.
SkillBFreshness: B★ 8Claude Code +9 - 0.547score
reconify-bootstrap
reconifyhq
Compatibility alias for reconify-engine-bootstrap.
SkillBFreshness: B★ 8Claude Code +9 - 0.547score
reconify-ci
reconifyhq
Compatibility alias for reconify-engine-ci.
SkillBFreshness: B★ 8Claude Code +9
Signals
- Stars
- 8
- Forks
- 3
- Open issues
- 13
- Last commit (this folder)
- Oct 7, 2026 (22 days ago)
- Last release
- Aug 29, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/reconifyhq/reconify
- Website
- docs.reconifyhq.com/cli
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from reconifyhq
- 0.626score
reconify-engine-config
reconifyhq
Configure Reconify from real input files.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-reconcile
reconifyhq
Reconcile unfamiliar financial files end to end.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-bootstrap
reconifyhq
Bootstrap a Reconify workspace.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-ci
reconifyhq
Automate Reconify in CI.
SkillAFreshness: A★ 8Claude Code +9 - 0.626score
reconify-engine-cli
reconifyhq
Resolve Reconify CLI behavior from the installed binary.
SkillAFreshness: A★ 8Claude Code +9 - 0.587score
reconify-engine-performance
reconifyhq
Fit Reconify runs within resource limits.
SkillBFreshness: B★ 8Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get reconify-engine-debug running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
reconify-engine-debug skill. Agent Mart. https://agentmart.dev/skills/reconifyhq-reconify-engine-debug (last updated 2026-10-24)