enforce

A manually invoked tool that turns imperative instructions in Markdown files, such as AGENTS.md or CLAUDE.md, into rules for the Interlinked guard system.

In plain words
What is it for?
Use it to distill rules from a file, directory, GitHub path, or URL; review or accept them; list their sources; and modify, disable, or remove individual rules.
Why use it?
It makes written project instructions available as enforceable checks, while review mode lets you inspect proposed rules before activating them.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/quentincody/interlinked-cli/enforce
Any agent
npx skills add QuentinCody/interlinked-cli --skill enforce
Clone the repo
git clone --depth 1 https://github.com/QuentinCody/interlinked-cli

Made for: Claude Code, Codex.

Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 19,903 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00192 $0.19903
Opus 5 $0.00096 $0.09952
Sonnet 5 $0.00038 $0.03981
Haiku 4.5 $0.00019 $0.01990

Measured 2d ago against content hash 8c80bd544a20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

enforce 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 2d 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.

skills/enforce/SKILL.md · 1,305 lines

How it starts

The opening of the file, as written. The whole thing — 1,305 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/enforce — Make markdown guidance into enforced harness rules

Quick start

/enforce                              # distill every imperative .md in the project
/enforce AGENTS.md                    # distill just one file
/enforce .claude/skills/tdd/          # distill every .md under a directory
/enforce mattpocock/skills/tdd        # fetch from GitHub (review-mode by default)
/enforce list                         # show what's distilled, grouped by source
/enforce show <id>                    # full detail for one rule
/enforce remove --source <group_id>   # bulk-remove rules from a source
/enforce disable <id>                 # keep on disk but don't enforce
/enforce modify <id> --action ask     # change a single rule's action/severity
/enforce --review                     # distill to a review file; nothing activates yet
/enforce --accept                     # promote a review file to live rules

Manual invocation only. This skill never auto-fires — not on SessionStart, not on a file-watcher event, not from any hook. The user (or an agent acting on the user's explicit request) types /enforce .... If you are wiring this skill into automation, stop — that violates the design.

Where output goes. Live rules: .interlinked/distilled-rules.json (pristine, regenerated each run). User mods: .interlinked/distilled-rules.overrides.json (removals, disables, modifications — survives re-distillation). The harness watches both files via watchFile and reloads automatically within ~2s — there is no interlinked harness reload command. If a daemon is in a degraded state and not picking up changes, interlinked harness restart is the only recourse.

Execution order (distill path; lifecycle verbs jump straight to §14):

  1. Pre-flight (§11) → 2. Parse args (§1) → 3. Read overrides (§9) → 4. Read prior distilled-rules.json (§3) → 5. Discover / resolve targets (§2) → 6. Read each file once (§3) → 7. Classify paragraphs (§4) → 8. Lexical ladder (§5) → 9. Triggers (§6) → 10. Build rule object (§7) → 11. Apply user modifications (§9) → 12. Resolve conflicts (§10) → 13. Self-checks (§12) → 14. Write output (§8) → 15. Print summary (§13).

Read the full file on GitHub · 1,305 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago First seen · 1,305 lines · 192 tokens per session scan A 8c80bd544a20

Subscribe to this mod's changes

enforce is a skill published in the GitHub repository QuentinCody/interlinked-cli (13 stars, last pushed 14d ago), licensed MIT. It adds 192 tokens to every session and 19,903 once invoked, about $0.0010 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 2026-08-31.

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