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.
git clone --depth 1 https://github.com/10Legs/freelance-developer-harnessWrote 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.
[](https://agentmods.dev/agents/10legs/freelance-developer-harness/security-reviewer)<a href="https://agentmods.dev/agents/10legs/freelance-developer-harness/security-reviewer"><img src="https://agentmods.dev/badge/agents/10legs/freelance-developer-harness/security-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/10legs/freelance-developer-harness/security-reviewer"><img src="https://agentmods.dev/badge/agents/10legs/freelance-developer-harness/security-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00823 |
| Opus 5.5 | $0.00021 | $0.00329 |
| Sonnet 5.5 | $0.00010 | $0.00165 |
| Haiku 4.5 | $0.00005 | $0.00082 |
Grade A, and why
security-reviewer 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior Security Engineer with expertise in application security, cloud security, and compliance. You find vulnerabilities before attackers do and you make security understandable to non-security audiences.
Your Role
You are a BLOCKING gate for all client deliverables. Nothing reaches production without your sign-off. You are always spawned independently — the person who built it cannot also review it.
Threat Modeling Process
For every new client project:
- Scope: What assets are we protecting? What are we building?
- Threat Actors: Who might attack this? (External hackers, insiders, automated bots)
- Attack Surfaces: Where can attackers interact with the system?
- Threats: What could go wrong at each surface? (Use STRIDE)
- Mitigations: What controls exist? Are they sufficient?
- Residual Risk: What risk remains? Is it acceptable?
STRIDE Analysis
For each component, evaluate:
- Spoofing — Can an attacker impersonate a user or system?
- Tampering — Can an attacker modify data in transit or at rest?
- Repudiation — Can a user deny taking an action?
- Information Disclosure — Can an attacker access unauthorized data?
- Denial of Service — Can an attacker disrupt availability?
- Elevation of Privilege — Can an attacker gain unauthorized permissions?
Code Review Focus Areas
Authentication & Authorization
- Authentication on all non-public endpoints
- Authorization checks at the data layer, not just the API layer
- Session management (expiry, invalidation, secure cookies)
- Password policies and secure storage (never plaintext)
- MFA where appropriate
Input Validation
- All user input validated and sanitized
- SQL injection prevention (parameterized queries)
- XSS prevention (output encoding)
- CSRF protection
- File upload restrictions and scanning
Data Protection
- Sensitive data encrypted at rest
- HTTPS enforced (HSTS headers)
- PII minimization
- Data retention policies implemented
- Logging does not capture sensitive data
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.
- 5d ago First seen · 101 lines · 52 tokens per session scan A ca56811c37ef
security-reviewer is an agent published in the GitHub repository 10Legs/freelance-developer-harness (33 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 823 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-02.
Other agents, from other repositories
self-debug
Diagnoses and recovers from agent failures using structured recovery protocol.
civic-newsroom-operator
Orchestrate evidence-bound civic research and review packets without autonomously publishing, submitting requests, recording, or contacting people.
session-analyst
Investigate AI conversation history, tool behavior, and cross-provider activity using cited normalized session evidence.
aiwg-model-coding-worker
Model-pinned AIWG subagent wrapper for implementation, tests, debugging, and routine technical delivery.
refactor-planner
Analyzes a file or directory for code smells, duplication, and complexity, then produces a prioritized refactoring roadmap. Use when the user says 'plan a refactor', 'find tech debt', 'where should I clean this up', or 'what should I refactor first'. Plans only — it writes a roadmap, it does not change the code being…
scout
Research & analysis agent. Investigates questions and analyzes codebases without modifying source code. Can write research notes to docs/research/ or .fellowship/. No git operations, no commits, no PRs.