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 skills/bitflight-devops/skilllint/mmap-processornpx skills add bitflight-devops/skilllint --skill mmap-processorgit clone --depth 1 https://github.com/bitflight-devops/skilllintWhat 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 | $0.00072 | $0.00533 |
| Opus 5 | $0.00036 | $0.00267 |
| Sonnet 5 | $0.00014 | $0.00107 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
mmap-processor 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 yesterday.
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.
What it actually says
High-Efficiency File Processing (mmap)
When writing Python code to read or search files, follow these mandatory rules:
- Reject Global Reads — Never use
pathlib.read_bytes(),read_text(), orf.read()on files of unknown or large size. - Prefer Memory Mapping — Use the
mmapmodule. The OS handles demand paging; only accessed pages load into RAM. - Delimiter Search — Use
mm.find(delimiter)ormm.rfind()instead of manual loops or regex on raw strings. - Binary Mode — Always open files in
rbmode for mapping. - Memory Safety — Always use
withstatements for both the file object and themmapobject.
Pattern: Read Until Delimiter
import mmap
import os
def read_to_delimiter(file_path: str, delimiter: bytes = b"\n") -> bytes:
if not os.path.exists(file_path) or os.path.getsize(file_path) == 0:
return b""
with open(file_path, "rb") as f:
with mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ) as mm:
pos = mm.find(delimiter)
return bytes(mm[:pos]) if pos != -1 else bytes(mm[:])
Pattern: Search Without Loading
def find_all_positions(file_path: str, needle: bytes) -> list[int]:
positions = []
with open(file_path, "rb") as f:
with mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ) as mm:
start = 0
while (pos := mm.find(needle, start)) != -1:
positions.append(pos)
start = pos + len(needle)
return positions
When mmap Is NOT Appropriate
- Files under ~1MB where full read is clearly acceptable
- Files opened for writing/appending (use
mmap.ACCESS_WRITEonly when in-place mutation is required) - Network streams or pipes (mmap requires a real file descriptor with
fileno())
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.
- yesterday First seen · 51 lines · 72 tokens per session scan A 78aa6cfd5256
mmap-processor is a skill published in the GitHub repository bitflight-devops/skilllint (6 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 533 once invoked, about $0.0004 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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