Inspectra AGENTS.md

Inspectra AGENTS.md is an instructions file for Codex, OpenCode from Fascinax/Inspectra. It costs 1,267 tokens per session, scanned A, original, MIT.

Instructions for Inspectra, a code-audit system that examines a project for issues. It offers a standard audit, a multi-agent audit, and a combined audit that compares results from both approaches.

In plain words
What is it for?
Use it to run structured code audits, inspect likely problem areas, dispatch specialized checks, combine findings, and remove duplicate results.
Why use it?
Different audit modes let you choose between a simpler review and broader analysis across several areas of the codebase.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/fascinax/inspectra/agents-md
Clone the repo
git clone --depth 1 https://github.com/Fascinax/Inspectra

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for Inspectra AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/fascinax/inspectra/agents-md.svg)](https://agentmods.dev/instructions/fascinax/inspectra/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/fascinax/inspectra/agents-md"><img src="https://agentmods.dev/badge/instructions/fascinax/inspectra/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,267 This file is loaded in full into every session.
When invoked 1,267 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01267 $0.01267
Opus 5 $0.00633 $0.00633
Sonnet 5 $0.00253 $0.00253
Haiku 4.5 $0.00127 $0.00127

Measured 3d ago against content hash 3fb355381cbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Inspectra AGENTS.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 3d 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.

AGENTS.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents

Inspectra uses MCP tools and prompt workflows to perform structured code audits. Three audit architectures are available:

  • Tier B (Hybrid): Single-prompt workflow (/audit). Default, proven by benchmark.
  • Map-Reduce (Multi-Agent): Orchestrator + 12 parallel domain agents (@audit-orchestrator). Deeper per-domain analysis with cross-domain correlation preserved.
  • Fusion (Maximum Recall): Combines Tier B + Map-Reduce in a single run, deduplicates cross-architecture findings (@audit-fusion). Maximizes finding recall at the cost of higher latency.

Workflow Overview — Tier B (Default)

User prompt -> MCP tool scan -> hotspot detection -> optional explorer -> merge -> report

Workflow Overview — Map-Reduce (Multi-Agent)

User prompt -> MCP tool scan -> hotspot detection -> dispatch 12 agents -> cross-domain correlation -> merge -> report

Workflow Overview — Fusion (Maximum Recall)

User prompt -> MCP tool scan -> hotspot detection -> Pass A (Tier B synthesis) + Pass B (12 agents) -> cross-architecture dedup -> correlation -> merge -> report

  1. The prompt workflow receives the audit request and selects the relevant tool groups.
  2. MCP tools gather deterministic findings across the requested domains.
  3. Hotspot detection identifies files with clustered findings across multiple domains.
  4. A conditional explorer pass reads only hotspot files to uncover deeper root causes.
  5. Root-cause inference maps hotspots to known categories (god-module, test-gap, etc.).
  6. The prioritization engine scores each cluster and groups them into Fix Now / Next Sprint / Backlog.
  7. The workflow merges results, simulates score projections, and generates Markdown output.

Audit Modes

  • Full audit (/audit): runs Tier B across all 12 domains.
  • Fusion audit (@audit-fusion): runs both Tier B + Map-Reduce, deduplicates, maximum recall.
  • Multi-agent audit (@audit-orchestrator): runs Map-Reduce across all 12 domains.
  • PR audit (/audit-pr): runs the Tier B workflow only on changed files.
  • Targeted audit (/audit-domain): runs only the requested domain tool group.

Read the full file on GitHub · 81 lines

Changes

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.

  1. 3d ago First seen · 81 lines · 1,267 tokens per session scan A 3fb355381cbc

Subscribe to this mod's changes

Inspectra AGENTS.md is an instructions file published in the GitHub repository Fascinax/Inspectra (1 stars, last pushed 4mo ago), licensed MIT. It adds 1,267 tokens to every session, about $0.0063 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.