
AGENTS.md & Agent-Config Quality Gate — Catch Ambiguous Rules, Conflicts & Missing Guardrails Before You Ship
An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
- Reviewing an AGENTS.md for ambiguous rules and missing guardrails before committing it
- Checking a teammate's agent config in a pull request for contradictions and vague tool scopes
- Diagnosing why an agent keeps misbehaving by auditing its instruction file
$12
· or 60 creditsSecure checkout via Stripe
Included in download
- Reviewing an AGENTS.md for ambiguous rules and missing guardrails before committing it
- Checking a teammate's agent config in a pull request for contradictions and vague tool scopes
- file_read automation included
- Ready for a system prompt
Sample input
Review this AGENTS.md:
- Always write clean code.
- Move fast and ship.
- Tools: helper (no section describing what the agent must not do)
Sample output
VERDICT: REVISE CLARITY: ambiguous - "clean code" has no definition the agent can check. CONSISTENCY: conflicting - "always write clean code" and "move fast and ship" can pull in opposite directions with no priority. GUARDRAILS: missing - no do-not list and no limits on destructive actions or scope. TOOLS & SCOPE: tool "helper" has no defined inputs, outputs, or file scope. TESTABILITY: "move fast" has no observable success criterion. TOP 3 FIXES: define what clean code means here or link a standard; set a priority when rules conflict; add an explicit do-not list and define the helper tool's scope.

AGENTS.md & Agent-Config Quality Gate — Catch Ambiguous Rules, Conflicts & Missing Guardrails Before You Ship
An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
$12
· or 60 creditsSecure checkout via Stripe
Also available in a bundle
Included in download
- Reviewing an AGENTS.md for ambiguous rules and missing guardrails before committing it
- Checking a teammate's agent config in a pull request for contradictions and vague tool scopes
- file_read automation included
- Ready for a system prompt
- Instant install
Sample input
Review this AGENTS.md:
- Always write clean code.
- Move fast and ship.
- Tools: helper (no section describing what the agent must not do)
Sample output
VERDICT: REVISE CLARITY: ambiguous - "clean code" has no definition the agent can check. CONSISTENCY: conflicting - "always write clean code" and "move fast and ship" can pull in opposite directions with no priority. GUARDRAILS: missing - no do-not list and no limits on destructive actions or scope. TOOLS & SCOPE: tool "helper" has no defined inputs, outputs, or file scope. TESTABILITY: "move fast" has no observable success criterion. TOP 3 FIXES: define what clean code means here or link a standard; set a priority when rules conflict; add an explicit do-not list and define the helper tool's scope.
About This Skill
The AGENTS.md & Agent-Config Quality Gate is an adversarial reviewer for AGENTS.md files and other agent instruction or configuration files. You paste the file and it reads it the way a careful agent would when trying to follow it literally — then returns a structured verdict. It does not rewrite your config or generate one. It runs five passes — clarity, consistency, guardrails, tool and scope definition, and testability — and returns a structured PASS / REVISE / BLOCK verdict with the highest-impact fixes first. It is built to be the last read before a config drives real agent behavior, when the author is too close to the file to spot an ambiguous rule, a quiet contradiction, or a missing limit on destructive actions.
Use Cases
- Reviewing an AGENTS.md for ambiguous rules and missing guardrails before committing it
- Checking a teammate's agent config in a pull request for contradictions and vague tool scopes
- Diagnosing why an agent keeps misbehaving by auditing its instruction file
Known Limitations
It reasons over the text of the config you paste, so it cannot observe how your agent actually behaves at runtime or test it against real tasks. It is not a linter for a specific framework, a runtime monitor, or a guarantee of agent behavior. It does not verify that referenced tools or files actually exist. Its flags are heuristics based on common agent-config pitfalls, not guarantees. It does not rewrite or run your config, and it only sees the text you provide.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agents-md-agent-config-quality-gate-catch-ambiguous-rules-conflicts-missing-guardrails-before-you-ship -o /tmp/agents-md-agent-config-quality-gate-catch-ambiguous-rules-conflicts-missing-guardrails-before-you-ship.zip && unzip -o /tmp/agents-md-agent-config-quality-gate-catch-ambiguous-rules-conflicts-missing-guardrails-before-you-ship.zip -d ~/.claude/skills && rm /tmp/agents-md-agent-config-quality-gate-catch-ambiguous-rules-conflicts-missing-guardrails-before-you-ship.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
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Permissions
File Scopes
Read-only is all this skill needs. It reads the AGENTS.md or config file you provide and reasons over it to produce a verdict. It does not write files, edit your config, run any agent or command, or make network or cloud calls. Nothing leaves your machine.
Model-agnostic and works with any assistant that can read a file or pasted text. Pure reasoning over the config you provide — it requests read-only access and has no network or write access, so nothing is sent anywhere and nothing is executed. Paste an AGENTS.md, a system prompt, or a tool manifest and it returns a structured verdict. It reviews the config; it does not modify or run it.
Creator
PubsProToolkit builds adversarial "gate" skills for AI agents — they catch problems before your output ships, instead of just generating more. From code, security, and infrastructure to content, hiring, contracts, and finance. Built by a CMPP-certified, PhD medical writer who brings regulated-industry rigor to every domain.
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