forecast-risk-brief

forecast-risk-brief is a skill for Codex from nthnclrk/enablement-skills. It costs 66 tokens per session (950 once invoked), scanned A, original, MIT.

A short sales forecast review that separates deals likely to miss their target from deals whose data cannot be trusted.

In plain words
What is it for?
Use it to review forecast reliability, summarize at-risk deals, and set weekly intervention priorities for sales leadership.
Why use it?
It helps leaders see which expected revenue is genuinely threatened and which forecasts need better evidence before action is chosen.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review forecast reliability, summarize at-risk deals, and set weekly intervention priorities for sales leadership.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nthnclrk/enablement-skills/forecast-risk-brief
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.

Any agent
npx skills add nthnclrk/enablement-skills --skill forecast-risk-brief
Clone the repo
git clone --depth 1 https://github.com/nthnclrk/enablement-skills

Made for: Codex.

Wrote 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.

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README.md
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Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 950 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00066 $0.00950
Opus 5.5 $0.00026 $0.00380
Sonnet 5.5 $0.00013 $0.00190
Haiku 4.5 $0.00007 $0.00095

Measured 24d ago against content hash 8bb5ae6d4392, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

forecast-risk-brief 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 24d 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/forecast-risk-brief/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Forecast risk brief

Show leadership which forecast value is exposed, where the evidence is insufficient, and which interventions need attention.

A good brief shows which commit value is threatened, which is merely untrustworthy, and which intervention belongs to each. If the user wants one deal inspected, use deal-inspection-coach.

Deal risk. "Three commits have a hard stop: legal review cannot finish before quarter-end. That value is exposed even if the CRM is complete."

Data-quality risk. "Two more commits have no buyer next step and a close date that moved twice with no new evidence. You cannot tier them. They are indeterminate, not probably fine."

If evidence confidence is being used as close likelihood, rewrite it.

Inputs

Ask only for the inputs that change the brief:

  1. Forecast window, coverage (team, segment, region), as-of date, and currency
  2. Category definitions and what counts as buyer-confirmed progression
  3. The snapshot: category, stage, amount, close date, last stage change, next step
  4. Available risk signals and any historical cycle-time baseline
  5. The leadership need: accuracy, intervention, or board summary

If a field is missing, leave it unknown. Do not invent amounts, dates, categories, or thresholds.

Supporting material

Read references/forecast-risk-framework.md before assigning a risk tier. Read references/source-system-guide.md when the source is a CRM or BI export.

Procedure

  1. Freeze the snapshot. One as-of date, one currency, one category set. Done when totals reconcile to the export and mixed currencies or duplicate IDs are flagged.
  2. Keep the seller category separate from your tier. Commit is what they recorded. Risk is what the evidence supports. Done when you have not "corrected" a category in the system.
  3. Run the same checks on every in-scope deal. Time feasibility, buyer-confirmed progression, next step, stakeholders, commercial path, date stability. Use the org's model if they supplied one. Otherwise show the decisive check, not a homemade score. Done when each deal is low, moderate, high, or indeterminate.
  4. Rate evidence confidence on its own. Completeness, freshness, conflicts, baseline quality. Missing critical fields cannot be rescued by a full set of low-value fields. Low risk requires high confidence.
  5. Aggregate for leadership. Value and count by tier, category, rep, segment, stage, and close timing. Keep indeterminate outside the low/moderate/high totals.
  6. Apply the risk-confidence matrix. Address a directly evidenced blocker even when other fields are incomplete. Verify weakly supported concerns before acting on them. For indeterminate deals, name the smallest missing fact that would support a classification; evidence gaps must not erase a known hard stop.
  7. Assign interventions. Owner, confirmed or proposed date, verification check. A date you created is proposed. Escalate concentration only against a tolerance the user supplied; otherwise show the exposure and ask.

Read the full file on GitHub · 76 lines

Files

What ships with it

3 files 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. 24d ago Changed 8bb5ae6d4392
  2. 2mo ago First seen · 76 lines · 66 tokens per session scan A 59ae3d7f8c0e

Subscribe to this mod's changes

forecast-risk-brief is a skill published in the GitHub repository nthnclrk/enablement-skills (16 stars, last pushed 25d ago), licensed MIT. It adds 66 tokens to every session and 950 once invoked, about $0.0003 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 2026-08-30.

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