Review output in detail
The full result of the run traced in Anatomy of a run: all 38 findings the model returned, and the markdown Junior rendered from them.
Findings
Section titled “Findings”The model returned request_changes with 38 comments:
| Severity | Count |
|---|---|
| 🔴 Critical | 5 |
| 🟠 High | 20 |
| 🟡 Medium | 13 |
| Total | 38 |
Critical
Section titled “Critical”| File | Line | Category | Issue |
|---|---|---|---|
api.py | 93 | security | eval(payload) on untrusted input — arbitrary code execution |
api.py | 59 | security | subprocess.run(..., shell=True) with user input — command injection |
api.py | 88 | bug | eval(payload) in webhook handler |
api.py | 73 | security | eval(payload) — flagged again at a second call site |
api.py | 50 | security | shell=True with user-controlled command |
High (top 10)
Section titled “High (top 10)”| File | Line | Category | Issue |
|---|---|---|---|
auth.py | 55 | security | check_permission() returns True for unknown roles |
auth.py | 14 | security | Deterministic token from timestamp + hardcoded secret |
auth.py | 8 | security | Hardcoded SECRET_KEY in source |
auth.py | 11 | security | MD5 for password hashing |
database.py | 33 | security | SQL injection via f-string in find_user() |
database.py | 61 | bug | SQL injection in delete_user() |
database.py | 70 | bug | SQL injection in update_user_role() |
database.py | 80 | bug | SQL injection in list_users() |
database.py | 94 | bug | SQL injection in search_users() |
auth.py | 27 | logic | Token validation broken — regenerates with current timestamp |
A few issues are flagged more than once (e.g. eval at multiple call sites).
With critical findings present, the model’s recommendation is
request_changes.
Formatted output
Section titled “Formatted output”publish.core.formatter.format_summary() renders the ReviewResult to markdown
(here 99 lines). Structure:
Header
Section titled “Header”## Junior Code Review
The code quality is poor overall, with multiple critical security flawsthat must be addressed immediately: unsafe `eval`, command injection via`shell=True`, SQL injection in several helpers, weak token handling,hardcoded secrets, and MD5 password hashing...Findings table
Section titled “Findings table”### Findings
| Severity | Count ||----------|-------|| 🔴 Critical | 5 || 🟠 High | 20 || 🟡 Medium | 13 |Detailed findings (grouped by severity)
Section titled “Detailed findings (grouped by severity)”#### 🔴 Critical- **[security]** `api.py:93` — `process_webhook()` uses `eval(payload)`... - Suggestion: Parse the payload with `json.loads()`...
#### 🟠 High- **[security]** `auth.py:55` — `check_permission()` returns `True`... - Suggestion: Fail closed: return `False` for unknown roles...
#### 🟡 Medium- **[security]** `hello.py:29` — `load_contacts()` accepts arbitrary file_path... - Suggestion: Restrict reads to a fixed directory...Footer
Section titled “Footer”---*Reviewed by [Junior AI](https://github.com/mishachepi/junior/) | pydantic | gpt-5.4-mini | 28,174 in / 7,224 out tokens*