Borrowing it
Nothing to install: this file belongs to gulmezeren2-byte/ihalent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gulmezeren2-byte/ihalent/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/gulmezeren2-byte/ihalentWrote 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/gulmezeren2-byte/ihalent/copilot-instructions)<a href="https://agentmods.dev/instructions/gulmezeren2-byte/ihalent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gulmezeren2-byte/ihalent/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/gulmezeren2-byte/ihalent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gulmezeren2-byte/ihalent/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00806 | $0.00806 |
| Opus 5 | $0.00403 | $0.00403 |
| Sonnet 5 | $0.00161 | $0.00161 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
ihalent copilot-instructions.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 8d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot instructions — ihalent
Turkish public-tender (EKAP) award intelligence: a pure-Python library + Typer CLI (plus an optional MCP server) that parses result notices (Sonuç İlanı) into Award records and computes firm histories, discount (kırım) distributions, and competition metrics — every number traceable to its source notice.
Build, test, lint
Dependencies and tools are managed with uv (uv.lock); Python 3.10+ (CI matrix: 3.10 and 3.14 on Linux + Windows). All three must be clean before a PR:
uv sync --dev
uv run pytest
uv run ruff check src tests # line-length 100; rules E,F,I,UP,B,SIM,RET,C4
uv run mypy src # disallow_untyped_defs, no_implicit_optional
If you touch the parser or examples/, rebuild the committed sample and confirm it round-trips (CI enforces this exact check):
uv run python examples/build_sample.py
uv run ihalent overview examples/sample-awards.jsonl --json | grep -q '"min": -2.96'
Entry points (pyproject.toml scripts): ihalent (CLI) and ihalent-mcp (MCP server — needs the extra pip install 'ihalent[mcp]', pointed at data via the IHALENT_AWARDS env var).
Architecture
All code lives under src/ihalent/. Pipeline: notice markdown -> parse.py (regex only, no ML/heuristics) -> Award dataclass (model.py) -> JSONL via store.py -> analytics.py -> render.py / cli.py / mcp_server.py. ingest.py turns an ihale-mcp/EKAP bundle into awards (merging per-lot kısmi teklif notices); normalize.py folds company-name spellings. The core is a pure function of its input — no network, no scraping, no keys; collection is delegated to the external saidsurucu/ihale-mcp. JSONL is the interchange boundary (one award per line, deduped by İKN, last line wins). In mcp_server.py each tool is a plain dict-returning function that knows nothing about MCP; the FastMCP wrapper (optional mcp extra) is imported lazily so the core stays dependency-light.
Conventions
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.
- 8d ago First seen · 36 lines · 806 tokens per session scan A 9a4618b32a40
ihalent copilot-instructions.md is an instructions file published in the GitHub repository gulmezeren2-byte/ihalent (3 stars, last pushed 1mo ago), licensed MIT. It adds 806 tokens to every session, about $0.0040 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.
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