Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/benseverndev-oss/infermap/claude-mdgit clone --depth 1 https://github.com/benseverndev-oss/infermapWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/benseverndev-oss/infermap/claude-md)<a href="https://agentmods.dev/instructions/benseverndev-oss/infermap/claude-md"><img src="https://agentmods.dev/badge/instructions/benseverndev-oss/infermap/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00721 | $0.00721 |
| Opus 5 | $0.00360 | $0.00360 |
| Sonnet 5 | $0.00144 | $0.00144 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
infermap CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
infermap
Environment
- Windows 11, bash shell (Git Bash) — use Unix paths in scripts
- Python 3.12 at
C:\Users\bsevern\AppData\Local\Programs\Python\Python312\python.exe - Project:
D:\show_case\infermap - Two GitHub accounts:
benzsevern(owner) andbenzsevern-mjh(work) - Always
gh auth switch --user benzsevernbefore push, switch back after - PyPI:
infermapv0.1.0 published (trusted publishing configured)
Testing
pytest --tb=shortfrom project root — 210 tests, ~2s- Optional deps (psycopg2, duckdb, pandas) must use
pytest.importorskip()— CI only installs.[dev] ruff check infermap/ tests/must pass — CI lint job fails on any error- Run
ruff check --fixbefore committing to auto-fix most issues import polarshangs under heavy CPU load (parallel subagents) — kill stale python processes first
Architecture
- Weighted scorer pipeline: ExactScorer → AliasScorer → PatternTypeScorer → ProfileScorer → FuzzyNameScorer
- Score combination: weighted average, None = abstain, 0.0 = real negative, min 2 contributors
- Optimal 1:1 assignment via
scipy.optimize.linear_sum_assignment(Hungarian algorithm) - Providers: FileProvider, InMemoryProvider, SchemaFileProvider, DBProvider (SQLite/Postgres/DuckDB)
- Config:
infermap.yamlfor scorer weights + alias extensions, schema definition files for target metadata - CLI:
infermap map,apply,inspect,validatevia Typer - Public API:
infermap.map(),from_config(),extract_schema(),@infermap.scorerdecorator
Key Files
infermap/engine.py— MapEngine orchestrator (scorer pipeline + assignment)infermap/scorers/alias.py— ALIASES dict + _ALIAS_LOOKUP (extended by config)infermap/scorers/pattern_type.py— SEMANTIC_TYPES regex registry + classify_field()infermap/providers/db.py— SQLite/Postgres/DuckDB extraction (MySQL stubbed)infermap/types.py— FieldInfo, SchemaInfo, ScorerResult, FieldMapping, MapResulttests/conftest.py— FIXTURES_DIR (not FIXTURES), make_field(), make_schema()
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 44 lines · 721 tokens per session scan A 7196bf339133
infermap CLAUDE.md is an instructions file published in the GitHub repository benseverndev-oss/infermap (0 stars, last pushed 4mo ago), licensed MIT. It adds 721 tokens to every session, about $0.0036 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
goldenmatch AGENTS.md
AGENTS.md instructions for benseverndev-oss/goldenmatch, covering golden suite monorepo — agent guide, what this is, layout, build & test and landmines to know before you touch anything.
goldenmatch CLAUDE.md
Claude Code instructions for benseverndev-oss/goldenmatch, covering golden suite monorepo, typescript: pnpm + turborepo (post-2026-05-02 fold), ci (.github/workflows/ci.yml), ci path filters (post-2026-05-06, pr #89) and merge queue: main serializes merges fifo (since 2026-06-15).
sqrl CLAUDE.md
Claude Code instructions for DataSQRL/sqrl, covering claude.md, project overview, external dependencies, essential commands and build commands.
dbt-doctor AGENTS.md
Instructions for northgraindata/dbt-doctor, covering dbt-doctor, stack, commands and conventions.
datapulse-my AGENTS.md
AGENTS.md instructions for r3dz4r/datapulse-my, covering agents.md — r3dz4r/datapulse-my, what this repo is, hard rules, repo map and script taxonomy — which scripts regenerate vs hand-author.
operator-etl AGENTS.md
AGENTS.md instructions for khaosans/operator-etl, covering agent instructions — operator etl, fast verify (do this first), load order (extended work), non-negotiables and multi-session work.