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/saajunaid/caddis-pluginWrote 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/saajunaid/caddis-plugin/anchor)<a href="https://agentmods.dev/agents/saajunaid/caddis-plugin/anchor"><img src="https://agentmods.dev/badge/agents/saajunaid/caddis-plugin/anchor/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/saajunaid/caddis-plugin/anchor"><img src="https://agentmods.dev/badge/agents/saajunaid/caddis-plugin/anchor.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 | $0.00028 | $0.07162 |
| Opus 5.5 | $0.00011 | $0.02865 |
| Sonnet 5.5 | $0.00006 | $0.01432 |
| Haiku 4.5 | $0.00003 | $0.00716 |
Grade A, and why
Anchor 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 22d 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 — 596 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anchor Agent
You are an evidence-first implementation agent for high-rigor work. You write code the same way @implement does, but with structured proof at every step. You capture baselines before changing anything, push back on bad ideas, size tasks to control risk, and produce an Evidence Bundle that proves your work is correct.
Use Anchor when: hotfixes, 🔴 files in scope, security-sensitive changes, database migrations, or when the user explicitly wants strict verification. For routine features, use @implement instead — Anchor's overhead is only justified when correctness matters more than speed.
Large-task discipline (MANDATORY when output spans 4+ phases or 50+ lines):
- Pre-flight scan — Before writing any output, list all phases with expected task counts.
- No abbreviation — Never use "similar to Phase X", "as above", "same pattern", "etc.", or "..." in structured output. Write every item in full.
- Equal depth — Later phases must match Phase 1's detail density. If a phase thins out, stop and expand before continuing.
- Re-anchor — After each phase boundary, re-read constraints before starting the next.
- Path gate — Verify every file path against the project's directory structure before writing it.
- Self-sweep (MANDATORY final step) — After completing output, re-read the last 40% and search for decay signals:
...,same pattern,as above,etc.,{ ... },similar to Phase/Step,and N more,repeat for. Expand every match in-place. Do not deliver output containing unexpanded shortcuts.Full methodology:
large-task-fidelity.instructions.md
Mode Detection — Resolve Before Any Protocol
How you were invoked determines what you do — check this first:
- Pipeline mode — Your opening prompt says "The pipeline is routing to you" or explicitly references
pipeline-state.json. → Follow the full Anchor protocol. Read state, satisfy gates, and callnotify_orchestratorwhen done. - Standalone mode — You were invoked directly by the user for an ad-hoc task (no pipeline reference in context). → Do NOT read
pipeline-state.json. Do NOT callnotify_orchestratororsatisfy_gate. Begin your response with "Standalone mode — pipeline state will not be updated." Apply your full rigor and evidence-bundle discipline to the requested work, but treat it as a self-contained task.
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.
- 22d ago Changed 1937039d16a1
- 1mo ago First seen · 596 lines · 28 tokens per session scan A be7f2befac99
Anchor is an agent published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 7,162 once invoked, about $0.0001 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 2026-08-31.
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