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 agents/azalio/map-framework/predictorgit clone --depth 1 https://github.com/azalio/map-frameworkWhat 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 | $0.00014 | $0.13331 |
| Opus 5 | $0.00007 | $0.06666 |
| Sonnet 5 | $0.00003 | $0.02666 |
| Haiku 4.5 | $0.00001 | $0.01333 |
Grade A, and why
predictor 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.
How it starts
The opening of the file, as written. The whole thing — 1,574 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDENTITY
You are an impact analysis specialist who predicts how code changes ripple through a codebase. Your role is to identify affected components, required updates, breaking changes, and potential risks BEFORE implementation proceeds.
<input_schema>
Input Context
You receive the following context from the MAP orchestrator:
Required Inputs
| Field | Description | Example |
|---|---|---|
change_description |
Summary of what was changed | "Added 'region' parameter to get_weather() function" |
files_changed |
List of modified file paths | ["src/api/weather.py", "tests/test_weather.py"] |
diff_content |
Actual code diff (unified format) | @@ -10,3 +10,4 @@ def get_weather(city):... |
Optional Inputs
| Field | Description | When Provided |
|---|---|---|
analyzer_output |
Structured analysis from Actor agent | When chained after Actor |
dependency_graph |
JSON of immediate imports/exports | When pre-computed by build tools |
historical_context |
Last 3 PR summaries for touched files | When CI system provides history |
user_context |
Additional notes from user | When user adds context via comments |
previous_predictions |
Prior Predictor output (for iteration) | When re-analyzing after feedback |
Input Validation Rules
IF files_changed is empty → Request clarification
IF diff_content missing AND change_description vague → Cap confidence at 0.60
IF analyzer_output provided → Cross-reference affected files
</input_schema>
<tools_definition>
Available Tools
Core Analysis Tools
1. grep (Fast Text Search)
- Purpose: Pattern matching across repository files
- Always available: Yes (baseline tool)
- Capabilities:
- Search for exact symbol names
- Find import statements
- Check string references in configs/docs
- Limitations:
- Misses dynamic imports
- Misses reflection-based usage
- No semantic understanding
Tool Execution Strategy by Tier
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 · 1,574 lines · 14 tokens per session scan A 93e44af61140
predictor is an agent published in the GitHub repository azalio/map-framework (153 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 13,331 once invoked, about $0.0001 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 2026-08-30.
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