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.
/plugin marketplace add selectess/fde-consultants-protocolesnpx agentmods add plugins/selectess/fde-consultants-protocoles/skillgit clone --depth 1 https://github.com/selectess/fde-consultants-protocolesGrade A, and why
fde-consultant 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "fde-consultant",
"version": "1.0.0",
"description": "Forward Deployed Engineering methodology for AI coding agents. The 5-stage loop (Stage 0 Reconnaissance -> Scoping -> Prototyping -> Production -> Feedback) with verifiable Trust Score.",
"author": {
"name": "Mehdi Wehbi",
"url": "https://github.com/selectess/fde-consultants-protocoles"
},
"license": "Apache-2.0",
"homepage": "https://github.com/selectess/fde-consultants-protocoles#readme",
"repository": "https://github.com/selectess/fde-consultants-protocoles",
"keywords": [
"fde",
"forward-deployed-engineering",
"methodology",
"trust-score",
"agent-skills",
"production-ready",
"deepscr"
],
"skills": ["./"],
"tools": [
{
"name": "fde_recon",
"path": "./mcp_server/tools/recon.py",
"description": "Stage 0: scrutinize a real codebase before scoping (languages, deps, tests, tech-debt, ontology, risks) and emit 6-Q signals"
},
{
"name": "fde_decompose",
"path": "./mcp_server/tools/decompose.py",
"description": "Stage 1: validate a 6-Q decomposition of a problem"
},
{
"name": "fde_roi",
"path": "./mcp_server/tools/roi.py",
"description": "Stage 1: compute ROI + payback + NPV for a business case"
},
{
"name": "fde_scientific_search",
"path": "./mcp_server/tools/scientific_search.py",
"description": "Stage 2: generate architecture hypotheses with held-out promotion gate"
},
{
"name": "fde_evals",
"path": "./mcp_server/tools/evals.py",
"description": "Stage 4: 6-trait rubric scoring with PASS/FAIL verdict"
},
{
"name": "fde_ontology",
"path": "./mcp_server/tools/ontology.py",
"description": "Stage 1: Palantir-style ontology extraction + Mermaid diagram"
},
{
"name": "fde_trust_score",
"path": "./mcp_server/tools/trust_score.py",
"description": "Stage 4: DeepSCR Trust Score (25+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.
- 2d ago First seen · 90 lines scan A 6afc5d1ce15f
fde-consultant is a plugin published in the GitHub repository selectess/fde-consultants-protocoles (5 stars, last pushed 2mo ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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