plugin-recommender

A plugin-finding assistant that searches plugin marketplaces and open-source collections for tools suited to a described task. It ranks candidates, provides installation guidance, and reports duplicates or possible conflicts.

In plain words
What is it for?
Use it when you need an add-on for a job such as handling tickets, connecting services, or generating documentation.
Why use it?
It saves developers from searching several ecosystems separately and helps identify setup issues before installing tools.

Skill for Claude CodeCodex

Part of the fh-meta plugin — 35 skills, 7 agents shipped together

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/chrono-meta/forge-harness/plugin-recommender
Any agent
npx skills add chrono-meta/forge-harness --skill plugin-recommender
Clone the repo
git clone --depth 1 https://github.com/chrono-meta/forge-harness

Made for: Claude Code, Codex.

Or install fh-meta, the plugin that ships this one along with the rest of its 35 skills, 7 agents.

Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,645 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 $0.00090 $0.04645
Opus 5 $0.00045 $0.02322
Sonnet 5 $0.00018 $0.00929
Haiku 4.5 $0.00009 $0.00464

Measured 3d ago against content hash dc548847a4e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plugin-recommender 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 3d 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.

plugins/fh-meta/skills/plugin-recommender/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Note: In external user install environments, the internal GHE org inventory and sister asset clusters are organization-specific examples from the original developer's environment. Adapt the core of this skill (multi-layer search + synergy evaluation + install support) to your own environment (see ## External User Environment Adaptation Path §).

plugin-recommender

Takes a task description as input, searches internal GHE, Claude Code marketplace, Codex marketplace, and external open-source ecosystems, then outputs a ranked list of suitable plugins and install commands. Ranking is quality-validation based — not source-origin based. Also reports duplicate installs and potential conflicts.

Activation Triggers

Activates on the following types of phrasing.

  1. Direct recommendation request: "Recommend a plugin", "What plugin should I use?", "Find a useful tool"
  2. Task-based implicit request: "I want to handle Jira tickets", "I need to visualize DB data", "I want to auto-generate API docs"
  3. Environment setup questions: "How do I integrate with Confluence?", "Set up plugins needed for a new project"
  4. Chained from sim-conductor (persona/simulation amplification): "Find a persona/simulation validation plugin", "Install stronger personas for the review". When invoked this way, scope the search to persona/simulation/review-oriented plugins (e.g., deep-insight) and return control to sim-conductor after install so the simulation can re-run with the installed personas — see ## Return Path §.

Processing Steps (Step 0 Pre-check + 5-Step)

Step 0: Search Pre-check — GitHub Token Auth Status

Before entering Step 2 multi-layer search, gh CLI auth status check is mandatory. Internal GHE + external GitHub auth are separate — if unauthenticated, guide user on how to generate and store tokens.

Run gh auth status. For full PAT setup commands and host-branching scripts, see SKILL_detail.md §Discovery-Bash.

External users (no internal GHE): skip internal GHE auth check — verify gh auth status for github.com only, then proceed to Step 1.

Read the full file on GitHub · 254 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. 3d ago First seen · 254 lines · 90 tokens per session scan A dc548847a4e0

Subscribe to this mod's changes

plugin-recommender is a skill published in the GitHub repository chrono-meta/forge-harness (14 stars, last pushed 3d ago), licensed MIT. It adds 90 tokens to every session and 4,645 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

reconcile

Cross-reference a paper against the collection. Finds which cited papers are already collected, which are new leads, which collection papers cite this one, and reconciles all cross-references bidirectionally. Run on a single paper directory or use --all for the entire collection.

ctoth/research-papers-plugin · 57 tokens

adjudicate

Systematically adjudicate disagreements across a paper collection. Produces ruthless verdicts on who was wrong, what supersedes what, and what the best current understanding is. Organized by topic clusters with actionable replacement values for implementation.

ctoth/research-papers-plugin · 48 tokens

author-context

Create a propstore context for one paper with CEL assumptions, parameters, and perspective. Every claim extracted from the paper will reference this context. Required before extract-claims if the paper does not already have one.

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author-rules

Author the DeLP rule artifacts (strict, defeasible, properdefeater, blockingdefeater) encoding a paper's stated argument structure. Runs after register-predicates.

ctoth/research-papers-plugin · 41 tokens

extract-claims

Extract propositional claims from a paper directory into the propstore source branch using pks source propose-claim.

ctoth/research-papers-plugin · 26 tokens

paper-retriever

Retrieve a scientific paper PDF given an arxiv URL, DOI, or paper title. Downloads to papers/ directory. Handles open-access retrieval (arxiv direct, Chrome print-to-pdf for publisher-direct HTML, Unpaywall, title-based open-repository search); for paywalled papers it hands off to whichever paper-retriever- access…

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