Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
This report summarizes scanner evidence for a2aproject/A2A, a Shell project with 26,104 GitHub stars. SynthScan examined 13,589 lines of code across 108 source files, recording 39 pattern matches distributed across 9 syntactic categories. The legacy adjusted pattern signal is 5.6 (Moderate pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 31 finding(s).
Are imports declared and package/API names verified? 0 finding(s).
Are wrappers, guards, and repeated structures necessary? 8 finding(s).
Which changes need focused human review? 39 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 39 distinct pattern matches across 9 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | .mkdocs/macros.py | 25 | # ----------------------------------------------------------------------------- | COMMENT |
| MEDIUM | .mkdocs/macros.py | 27 | # ----------------------------------------------------------------------------- | COMMENT |
| MEDIUM | .mkdocs/macros.py | 43 | # ----------------------------------------------------------------------------- | COMMENT |
| MEDIUM | .mkdocs/macros.py | 45 | # ----------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .mkdocs/macros.py | 190 | # ----------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .mkdocs/macros.py | 192 | # ----------------------------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | docs/specification.md | 1847 | ### Step 2: Client obtains credentials (out-of-band OAuth 2.0 flow) | COMMENT |
| LOW | docs/specification.md | 1849 | ### Step 3: Client fetches authenticated extended Agent Card | COMMENT |
| LOW | scripts/proto_to_json_schema.sh | 71 | # Step 0: Pre-process proto | COMMENT |
| LOW⚡ | scripts/proto_to_json_schema.sh | 86 | # Step 1: Generate individual JSON Schema files with JSON field names (camelCase) | COMMENT |
| LOW⚡ | scripts/proto_to_json_schema.sh | 96 | # Step 2: Bundle all schemas into a single file | COMMENT |
| LOW | scripts/proto_to_json_schema.sh | 120 | # Step 3: Post-process with Python script to clean up definition names and references | COMMENT |
| LOW | .github/workflows/conventional-commits.yml | 34 | # Step 1: If docs/specification.md is modified (and proto is not), require docs(spec): | COMMENT |
| LOW | .github/workflows/conventional-commits.yml | 48 | # Step 2: If protocol definition (proto) is modified, require feat/fix/chore/refactor | COMMENT |
| LOW | .github/workflows/conventional-commits.yml | 64 | # Step 3: General fallback for all other changes (non-core docs, CI, scripts, tools, etc.) | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/proto_to_json_schema.sh | 71 | # Step 0: Pre-process proto | COMMENT |
| LOW⚡ | scripts/proto_to_json_schema.sh | 86 | # Step 1: Generate individual JSON Schema files with JSON field names (camelCase) | COMMENT |
| LOW⚡ | scripts/proto_to_json_schema.sh | 96 | # Step 2: Bundle all schemas into a single file | COMMENT |
| LOW | scripts/proto_to_json_schema.sh | 120 | # Step 3: Post-process with Python script to clean up definition names and references | COMMENT |
| LOW | .github/workflows/conventional-commits.yml | 34 | # Step 1: If docs/specification.md is modified (and proto is not), require docs(spec): | COMMENT |
| LOW | .github/workflows/conventional-commits.yml | 48 | # Step 2: If protocol definition (proto) is modified, require feat/fix/chore/refactor | COMMENT |
| LOW | .github/workflows/conventional-commits.yml | 64 | # Step 3: General fallback for all other changes (non-core docs, CI, scripts, tools, etc.) | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | docs/community.md | 50 | - **Craig McLuckie's "Hot Take":** Craig McLuckie shared his thoughts on [LinkedIn](https://www.linkedin.com/posts/craig | CODE |
| MEDIUM | docs/partners.md | 63 | - [Deloitte](https://www.prnewswire.com/news-releases/deloitte-expands-alliances-with-google-cloud-and-servicenow-to-acc | CODE |
| MEDIUM | docs/partners.md | 168 | - [UiPath](https://www.uipath.com/newsroom/uipath-launches-first-enterprise-grade-platform-for-agentic-automation) | CODE |
| MEDIUM | docs/blog/posts/a2a-joins-aaif.md | 20 | [Since reaching its stable v1.0 specification, the protocol has seen rapid adoption](https://www.forbes.com/sites/janaki | CODE |
| MEDIUM | .mkdocs/overrides/main.html | 38 | <a href="https://a2a-protocol.org/latest/blog/2026/08/27/a-new-chapter-for-a2a-joining-the-agentic-ai-foundation/" cla | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | scripts/build_sdk_docs.sh | 13 | # Create a clean virtual environment | COMMENT |
| MEDIUM | .mkdocs/macros.py | 253 | # Create a slug for the link. Messages are usually CamelCase, so lowercase it. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/clean_schema_names.py | 17 | CODE | |
| LOW | .mkdocs/macros.py | 48 | CODE | |
| LOW | .mkdocs/macros.py | 61 | CODE | |
| LOW | .mkdocs/macros.py | 147 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | scripts/proto_to_json_schema.sh | 99 | # Check if any JSON files were generated | COMMENT |
| LOW | .mkdocs/macros.py | 79 | # Iterate over elements inside the message | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | .mkdocs/macros.py | 143 | except Exception as e: | CODE |
| LOW⚡ | .mkdocs/macros.py | 186 | except Exception as e: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | .gitvote.yml | 1 | # GitVote configuration file | COMMENT |
| LOW | scripts/deploy_root_files.sh | 1 | #!/bin/bash | COMMENT |